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Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications explaining its concepts and limitations. Featuring illustrative examples mathematical derivations computer algorithms and homework problems it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method in addition to students in physics and engineering and those engaged in the advancement of the Monte Carlo methods. Describes general and particle-transport-specific automated variance reduction techniques Presents Monte Carlo particle transport eigenvalue issues and methodologies to address these issues Presents detailed derivation of existing and advanced formulations and algorithms with real-world examples from the author’s research activities | Monte Carlo Methods for Particle Transport

GBP 48.99
1

Monte Carlo Simulation with Applications to Finance

Monte Carlo Simulation with Applications to Finance

Developed from the author’s course on Monte Carlo simulation at Brown University Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation arbitrary free option pricing and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques including control variates stratification conditioning importance sampling and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

GBP 59.99
1

Monte-Carlo Simulation An Introduction for Engineers and Scientists

Monte-Carlo Simulation An Introduction for Engineers and Scientists

Monte-Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models. Monte-Carlo Simulation: An Introduction for Engineers and Scientists explores several specific applications in addition to illustrating the principles behind the methods. The question of accuracy and efficiency with using the method is addressed thoroughly within each chapter and all program listings are included in the discussion of each application to facilitate further research for the reader using Python programming language. Beginning engineers and scientists either already in or about to go into industry or commercial and government scientific laboratories will find this book essential. It could also be of interest to undergraduates in engineering science and mathematics as well as instructors and lecturers who have no prior knowledge of Monte-Carlo simulations. | Monte-Carlo Simulation An Introduction for Engineers and Scientists

GBP 82.99
1

Pronunciaciones del español

Pronunciaciones del español

Pronunciaciones del español es una introducción accesible a la fonética y la fonología del español que destaca la diversidad de pronunciaciones empleadas en el mundo hispanohablante. Con explicaciones claras y gráficos detallados este libro guía al estudiante en el aprendizaje de conceptos claves de fonética articulatoria y acústica. El libro presta especial atención a la variación sociolingüística a partir de ejemplos que cubren pronunciaciones típicas de variedades estándares y de variedades generalmente consideradas no normativas. Una abundante selección de ejercicios y actividades permite al estudiante reforzar la comprensión de conceptos claves y practicar las pronunciaciones comentadas. Un glosario bilingüe (español-inglés) archivos de audio y recursos pedagógicos se encuentran disponibles en línea en www. routledge. com/9781138657540. El libro es idóneo para estudiantes que inician estudios al nivel avanzado de español y de lingüística hispánica y que buscan familiarizarse con las pronunciaciones de diferentes variedades de español. Pronunciaciones del español is an accessible introduction to the linguistic diversity of Spanish phonetics and phonology. With clear explanations and detailed illustrations this book guides students through key concepts in articulatory and acoustic phonetics. Particular attention is paid throughout to sociolinguistic variation with examples covering pronunciations typical of standard varieties as well as varieties generally considered to be non-normative. A rich array of exercises and activities allow students to reinforce understanding of key concepts and practice the pronunciations as described. A bilingual glossary accompanying audio files and teaching resources are available online at www. routledge. com/9781138657540. This book is ideal for advanced students of Spanish and Hispanic Linguistics looking to develop familiarity with the pronunciation of different varieties of Spanish.

GBP 52.99
1

Randomization Bootstrap and Monte Carlo Methods in Biology

Randomization Bootstrap and Monte Carlo Methods in Biology

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors the fourth edition of Randomization Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization bootstrapping and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications with data sets available online. Features Presents an overview of computer-intensive statistical methods and applications in biology Covers a wide range of methods including bootstrap Monte Carlo ANOVA regression and Bayesian methods Makes it easy for biologists researchers and students to understand the methods used Provides information about computer programs and packages to implement calculations particularly using R code Includes a large number of real examples from a range of biological disciplines Written in an accessible style with minimal coverage of theoretical details this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students as well as a reference for researchers from a range of disciplines. The detailed worked examples of real applications will enable practitioners to apply the methods to their own biological data.

GBP 44.99
1

Aproximaciones al estudio del español como lengua de herencia

Aproximaciones al estudio del español como lengua de herencia

Aproximaciones al estudio del español como lengua de herencia reúne diversas perspectivas sobre el estudio del español como lengua de herencia en el contexto de los Estados Unidos. El volumen presenta una amplia gama de enfoques lingüísticos modelos pedagógicos e innovaciones programáticas. Dirigido a investigadores noveles y experimentados al igual que a estudiantes y profesionales de la enseñanza es un volumen ideal para aquellas personas que desean actualizar sus conocimientos del campo y obtener una perspectiva panorámica sobre la investigación y la enseñanza del español como lengua de herencia. Características principales: temas que incluyen entre otros la fonología/la fonética la morfosintaxis la pragmática la enseñanza mediante el enfoque por tareas la literacidad múltiple el translenguar los programas de community college el español para fines específicos y la investigación-acción; contenidos teóricos empíricos y pragmáticos relevantes para la enseñanza del español como lengua de herencia; descripciones y ejemplos que facilitan la adquisición de conocimientos sobre la materia; diferentes secciones que permiten la flexibilidad en cuanto al orden de lectura del volumen; preguntas de reflexión al final de cada capítulo para facilitar la comprensión de los temas presentados. Escrito de manera clara y accesible Aproximaciones al estudio del español como lengua de herencia es un recurso indispensable para cursos de grado y posgrado en español sobre el español como lengua de herencia. Aproximaciones al estudio del español como lengua de herencia brings together a number of diverse scholarly voices and perspectives on the study of Spanish as a heritage language with a focus on the United States context. The volume presents a comprehensive view of this growing and dynamic field with the latest on linguistic approaches pedagogical models and programmatic innovations. Directed to beginning and seasoned researchers as well as to students and practitioners who wish to update their knowledge of the field and gain a fresh perspective on different approaches to researching and teaching Spanish heritage bilinguals. Written in Spanish for a wider audience in the Spanish-speaking world and for the teaching of undergraduate and graduate courses in Spanish. Key features: A broad range of topics including phonology/phonetics morphosyntax pragmatics task-based language teaching multiliteracy translanguaging community college programs Spanish for specific purposes and action research among others; Clear overviews of theoretical empirical and pragmatic issues relevant to the teaching of Spanish as a heritage language; Every chapter builds on specific core questions central to current understandings of research and practice; Concise descriptions and examples throughout provide readers with the tools they need to understand the subject matter; Organized into three sections that allows for flexibility regarding reading order; A section of reflection questions at the end of each chapter to help readers gain a deeper understanding of the issues at stake. Written in clear and accessible Spanish Aproximaciones al estudio del español como lengua de herencia is a critical resource for those interested in understanding Spanish heritage speakers’ multifaceted linguistic experience in tandem with providing a meaningful educational experience that supports their personal professional and learning goals.

GBP 52.99
1

Lingüística cognitiva y español LE/L2

Lingüística cognitiva y español LE/L2

Lingüística cognitiva y español LE/L2 constituye una valiosa aportación al estudio de la adquisición y la enseñanza del español LE/L2 desde la perspectiva teórica de la lingüística cognitiva. Se trata de la primera obra escrita en español en la que se ofrece una introducción a la lingüística cognitiva y su aplicación didáctica a la enseñanza del español LE/L2 desde una óptica internacional. Combina una orientación teórico-práctica que incluye diferentes estudios empíricos con pautas para ayudar a los profesores de español a integrar la lingüística cognitiva en la enseñanza de la lengua. Características principales: • Una estructura homogénea y facilitadora de la lectura de los distintos capítulos que sirve para integrar contenidos lingüísticos y gramaticales desde un punto de vista cognitivo; • Cuestiones clave en la enseñanza del español LE/L2 desde la óptica de la lingüística cognitiva: aspectos controvertidos de gramática el desarrollo de la competencia metafórica el aprendizaje del léxico la influencia de la lengua materna el foco en la forma el uso de la traducción pedagógica; • Pautas y sugerencias para aplicar la lingüística cognitiva en la enseñanza de la lengua así como futuras vías de investigación; • Una selección de imágenes gráfi cos e ilustraciones para facilitar la comprensión de los temas y conceptos que se abordan en el volumen; • Un glosario bilingüe (español e inglés) de términos clave para que cualquier lector pueda familiarizarse con los conceptos fundamentales de la lingüística cognitiva. Escrito en español de manera clara y accesible y con abundantes ejemplos Lingüística cognitiva y español LE/L2 es una obra de referencia para docentes de español como LE/L2 estudiantes graduados y formadores de profesores así como para cualquier persona que desee adquirir una perspectiva actual sobre las principales aportaciones teóricas y prácticas de la lingüística cognitiva a la enseñanza y el aprendizaje de segundas lenguas.

GBP 51.99
1

Multiscale Modeling From Atoms to Devices

Multiscale Modeling From Atoms to Devices

While the relevant features and properties of nanosystems necessarily depend on nanoscopic details their performance resides in the macroscopic world. To rationally develop and accurately predict performance of these systems we must tackle problems where multiple length and time scales are coupled. Rather than forcing a single modeling approach to predict an event it was not designed for a new paradigm must be employed: multiscale modeling. A brilliant solution to a pervasive problem Multiscale Modeling: From Atoms to Devices offers a number of approaches for which more than one scale is explicitly considered. It provides several alternatives from coarse-graining sampling of the atomic and mesoscale to Monte Carlo- and thermodynamic-based models that allow sampling of increasingly large scales up to multiscale models able to describe entire devices. Beginning with common techniques for coarse-graining the book discusses their theoretical background advantages and limitations. It examines the application-dependent parameterization characteristics of coarse-graining along with the finer-trains-coarser multiscale approach and describes three carefully selected examples in which the parameterization although based on the same principles depends on the actual application. The book considers the use of ab initio and density functional theory to obtain parameters needed for larger scale models the alternative use of density functional theory parameters in a Monte Carlo method and the use of ab initio and density functional theory as the atomistic technique underlying the calculation of thermodynamics properties of alloy phase stability. Highlighting one of the most challenging tasks for multiscale modelers Multiscale Modeling: From Atoms to Devices also presents modeling for nanocomposite materials using the embedded fiber finite element method (EFFEM). It emphasizes an ensemble Monte Carlo method to high field-charge transport problems and demonstrates the practical application of modern many-body quantum theories. The author maintains a website with additional information. | Multiscale Modeling From Atoms to Devices

GBP 69.99
1

Statistical Computing with R Second Edition

Statistical Computing with R Second Edition

Praise for the First Edition: . the book serves as an excellent tutorial on the R language providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation. – Tzvetan Semerdjiev Zentralblatt Math Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational graphical and numerical approaches to solving statistical problems. Like its bestselling predecessor Statistical Computing with R Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference bootstrap and jackknife permutation tests Markov chain Monte Carlo (MCMC) methods and density estimation. Includes new sections exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio the tidyverse knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics. Suitable for an introductory course in computational statistics or for self-study Statistical Computing with R Second Edition provides a balanced accessible introduction to computational statistics and statistical computing. About the Author Maria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green Ohio where she teaches statistics actuarial science computational statistics statistical programming and data science. Prior to joining the faculty at BGSU in 2006 she was Assistant Professor in the Department of Mathematics at Ohio University in Athens Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.

GBP 66.99
1

Bayesian Statistics for the Social Sciences Second Edition

Bayesian Statistics for the Social Sciences Second Edition

The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty Bayesian variable selection and sparsity and Bayesian workflow for statistical modeling. Clearly explaining frequentist and epistemic probability and prior distributions the second edition emphasizes use of the open-source RStan software package. The text covers Hamiltonian Monte Carlo Bayesian linear regression and generalized linear models model evaluation and comparison multilevel modeling models for continuous and categorical latent variables missing data and more. Concepts are fully illustrated with worked-through examples from large-scale educational and social science databases such as the Program for International Student Assessment and the Early Childhood Longitudinal Study. Annotated RStan code appears in screened boxes; the companion website (www. guilford. com/kaplan-materials) provides data sets and code for the book's examples. New to This Edition *Utilizes the R interface to Stan-faster and more stable than previously available Bayesian software-for most of the applications discussed. *Coverage of Hamiltonian MC; Cromwell’s rule; Jeffreys' prior; the LKJ prior for correlation matrices; model evaluation and model comparison with a critique of the Bayesian information criterion; variational Bayes as an alternative to Markov chain Monte Carlo (MCMC) sampling; and other new topics. *Chapters on Bayesian variable selection and sparsity model uncertainty and model averaging and Bayesian workflow for statistical modeling. | Bayesian Statistics for the Social Sciences Second Edition

GBP 57.99
1

Time Series Modeling Computation and Inference Second Edition

Time Series Modeling Computation and Inference Second Edition

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference Time Series: Modeling Computation and Inference Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling analysis and forecasting a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis and contacts research frontiers in multivariate time series modeling and forecasting. It presents overviews of several classes of models and related methodology for inference statistical computation for model fitting and assessment and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields including signal processing biomedicine environmental science and finance. Along with core models and methods the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years and contacts recent and relevant modeling developments and research challenges. New in the second edition: Expanded on aspects of core model theory and methodology. Multiple new examples and exercises. Detailed development of dynamic factor models. Updated discussion and connections with recent and current research frontiers. | Time Series Modeling Computation and Inference Second Edition

GBP 44.99
1

Statistical Simulation Power Method Polynomials and Other Transformations

Statistical Simulation Power Method Polynomials and Other Transformations

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on both univariate and multivariate nonnormal data generation Statistical Simulation: Power Method Polynomials and Other Transformations presents techniques for conducting a Monte Carlo simulation study. It shows how to use power method polynomials for simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices. The book first explores the methodology underlying the power method before demonstrating this method through examples of standard normal logistic and uniform power method pdfs. It also discusses methods for improving the performance of a simulation based on power method polynomials. The book then develops simulation procedures for systems of linear statistical models intraclass correlation coefficients and correlated continuous variates and ranks. Numerical examples and results from Monte Carlo simulations illustrate these procedures. The final chapter describes how the g-and-h and generalized lambda distribution (GLD) transformations are special applications of the more general multivariate nonnormal data generation approach. Throughout the text the author employs Mathematica® in a range of procedures and offers the source code for download online. Written by a longtime researcher of the power method this book explains how to simulate nonnormal distributions via easy-to-use power method polynomials. By using the methodology and techniques developed in the text readers can evaluate different transformations in terms of comparing percentiles measures of central tendency goodness-of-fit tests and more. | Statistical Simulation Power Method Polynomials and Other Transformations

GBP 64.99
1

Interaction of Radiation with Matter

Interaction of Radiation with Matter

Interaction of Radiation with Matter focuses on the physics of the interactions of ionizing radiation in living matter and the Monte Carlo simulation of radiation tracks. Clearly progressing from an elementary level to the state of the art the text explores the classical physics of track description as well as modern aspects based on condensed matter physics. The first section of the book discusses the fundamentals of the radiation field. In the second section the authors describe the cross sections for electrons and heavy ions—the most important information needed for simulating radiation track at the molecular level. The third section details the inelastic scattering and energy loss of charged particles in condensed media particularly liquid water. The final section contains a large number of questions and problems to reinforce learning. Designed for radiation interaction courses this textbook is the ideal platform for teaching students in medical/health physics and nuclear engineering. It gives students a solid grounding in the physical understanding of radiation track structure in living matter enabling them to pursue further work in radiological physics and radiation dosimetry.

GBP 46.99
1

Contemporary Issues in Quantitative Finance

Contemporary Issues in Quantitative Finance

Contemporary quantitative finance connects the abstract theory and the practical use of financial innovations such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques mathematical tools and statistical methodologies with a focus on real-life applications. The textbook opens with chapters on financial markets global finance and financial crises setting the subject in its historical and international context. It then examines key topics in modern quantitative finance including asset pricing exchange-traded funds Monte Carlo simulations options alternative investments artificial intelligence and big data analytics in finance. Complex theory is condensed to intuition with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations conceptual questions quantitative problems and a research project giving students ample opportunity to develop their skills. Clear chapter objectives summaries and key terms also support student learning. Digital supplements including code and PowerPoint slides are available for instructors. Assuming some prior financial education this textbook is suited to upper-level undergraduate and postgraduate courses in quantitative finance financial engineering and derivatives. | Contemporary Issues in Quantitative Finance

GBP 49.99
1

Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

In this research notes book the modelling of mechanical properties of CNT/polymer nanocomposites is presented. The book begins with the structural and intrinsic mechanical properties of CNTs and then introduces computational methods that have been applied to polymer nanocomposites covering from molecular scale (molecular dynamics Monte Carlo) microscale (Brownian dynamics dissipative particle dynamics lattice Boltzmann time-dependent Ginzburg–Landau method dynamic density functional theory method) to mesoscale and macroscale (micromechanics equivalent-continuum and self-similar approaches finite element method). Knowledge of the nature and mechanics of the length and orientation of nanotubes and load transfer between nanotubes and polymers is critical for the manufacturing of enhanced carbon nanotube polymer composites. It also enables the tailoring of the interface for specific applications or superior mechanical properties. This book discusses the state of these parameters in mechanics of carbon nanotube polymer composites and presents some directions for future research in this field. The book’s aim is to enhance current knowledge in this area to support researchers in carbon nanotubes and help them choose the appropriate modelling tool for accomplishing their research. | Foundations of Nanotechnology Volume Three Mechanics of Carbon Nanotubes

GBP 82.99
1

Reliability of Structures

Reliability of Structures

Reliability of Structures enables both students and practising engineers to appreciate how to value and handle reliability as an important dimension of structural design. It discusses the concepts of limit states and limit state functions and presents methodologies for calculating reliability indices and calibrating partial safety factors. It also supplies information on the probability distributions and parameters used to characterize both applied loads and member resistances. This revised and extended second edition contains more discussions of US and international codes and the issues underlying their development. There is significant revision and expansion of the discussion on Monte Carlo simulation along with more examples. The book serves as a textbook for a one-semester course for advanced undergraduates or graduate students or as a reference and guide to consulting structural engineers. Its emphasis is on the practical applications of structural reliability theory rather than the theory itself. Consequently probability theory is treated as a tool and enough is given to show the novice reader how to calculate reliability. Some background in structural engineering and structural mechanics is assumed. A solutions manual is available upon qualifying course adoption.

GBP 44.99
1

Analysis and Performance of Engineering Materials Key Research and Development

Analysis and Performance of Engineering Materials Key Research and Development

This new book facilitates the study of problematic chemicals in such applications as chemical fate modeling chemical process design and experimental design. It provides a valuable overview of current chemical processes products and practices and analyzes theories to formulate and prove physicochemical principles. It addresses the production and application of polymers including chemical physicochemical and purely physical methods of examination. Topics include:• Radiotransparent fiberglass plastic products based on highly cross-linked polymer matrices• Properties and development of hyaluronan (HA) for pharmaceutical applications • Adhesive bonding of steel sheets treated by nitrooxidation in comparison with nontreated steel• Results of simulation by the Monte Carlo method of kinetics of three-dimensional free-radical polymerization of tetrafunctional monomers (TFM)• Elastomeric compositions based on systems with functionally active components for extreme conditions• Experimental research on efficient clearing of gas emissions in the manufacture of ceramic materials• The use of solar cells in the manufacture of textile materials• Ceramization of polymer compositions as a method for flame retardancy in materialsThe important research found in this book will aid scientists and researchers in developing improved engineering materials. The book’s coverage of a broad spectrum of key developments can be applied in industrial chemistry biochemistry and materials science. | Analysis and Performance of Engineering Materials Key Research and Development

GBP 82.99
1

Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms emphasizes data visualization and explains how to build a cohesive suite of functioning Shiny applications. The full source code asset price data and live Shiny applications are available at reproduciblefinance. com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data which in the investment context means importing asset prices converting to returns and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation skewness kurtosis and their rolling histories. The third section focuses on portfolio theory analyzing the Sharpe Ratio CAPM and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards. | Reproducible Finance with R Code Flows and Shiny Apps for Portfolio Analysis

GBP 59.99
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Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements how to present the analysis to decision-makers and the use of bivariate probability distributions to capture joint interactions between a system’s cost and schedule. Analytical techniques from probability theory are stressed along with the Monte Carlo simulation method. Numerous examples and case discussions illustrate the practical application of theoretical concepts. While the original chapters from the first edition remain unchanged this second edition contains new material focusing on the application of theory to problems encountered in practice. Highlights include the use of GERM to build development and production cost estimating relationships as well as the eSBM which was developed from a need in the community to offer simplified analytical alternatives to advanced probability-based approaches. The book also lists the major technical works of the late Dr. Stephen A. Book a mathematician and world-renowned cost analyst whose contributions advanced the theory and practice of cost risk analysis. | Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

GBP 44.99
1

Statistical Computing in Nuclear Imaging

Statistical Computing in Nuclear Imaging

Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements. Basic statistical concepts elements of decision theory and counting statistics including models of photon-limited data and Poisson approximations are discussed in the first chapters. Monte Carlo methods and Markov chains in posterior analysis are discussed next along with an introduction to nuclear imaging and applications such as PET and SPECT. The final chapter includes illustrative examples of statistical computing based on Poisson-multinomial statistics. Examples include calculation of Bayes factors and risks as well as Bayesian decision making and hypothesis testing. Appendices cover probability distributions elements of set theory multinomial distribution of single-voxel imaging and derivations of sampling distribution ratios. C++ code used in the final chapter is also provided. The text can be used as a textbook that provides an introduction to Bayesian statistics and advanced computing in medical imaging for physicists mathematicians engineers and computer scientists. It is also a valuable resource for a wide spectrum of practitioners of nuclear imaging data analysis including seasoned scientists and researchers who have not been exposed to Bayesian paradigms.

GBP 44.99
1

Ionizing Radiation Effects in Electronics From Memories to Imagers

Ionizing Radiation Effects in Electronics From Memories to Imagers

Ionizing Radiation Effects in Electronics: From Memories to Imagers delivers comprehensive coverage of the effects of ionizing radiation on state-of-the-art semiconductor devices. The book also offers valuable insight into modern radiation-hardening techniques. The text begins by providing important background information on radiation effects their underlying mechanisms and the use of Monte Carlo techniques to simulate radiation transport and the effects of radiation on electronics. The book then:Explains the effects of radiation on digital commercial devices including microprocessors and volatile and nonvolatile memories—static random-access memories (SRAMs) dynamic random-access memories (DRAMs) and Flash memoriesExamines issues like soft errors total dose and displacement damage together with hardening-by-design solutions for digital circuits field-programmable gate arrays (FPGAs) and mixed-analog circuitsExplores the effects of radiation on fiber optics and imager devices such as complementary metal-oxide-semiconductor (CMOS) sensors and charge-coupled devices (CCDs)Featuring real-world examples case studies extensive references and contributions from leading experts in industry and academia Ionizing Radiation Effects in Electronics: From Memories to Imagers is suitable both for newcomers who want to become familiar with radiation effects and for radiation experts who are looking for more advanced material or to make effective use of beam time. | Ionizing Radiation Effects in Electronics From Memories to Imagers

GBP 59.99
1

Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis gastroenteric disease and the U. K. foot-and-mouth outbreak the first chapter uses stochastic models such as point process models to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems such as bacteria colonies tumors and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo illustrating the methods with a variety of data examples such as temperature surfaces dioxin concentrations ozone concentrations and a well-established deterministic dynamical weather model.

GBP 59.99
1

Fitting Statistical Distributions The Generalized Lambda Distribution and Generalized Bootstrap Methods

Fitting Statistical Distributions The Generalized Lambda Distribution and Generalized Bootstrap Methods

Throughout the physical and social sciences researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years the number and variety of distributions to choose from-all with their own formulas tables diagrams and general properties-continue to create problems. For a specific application which of the dozens of distributions should one use? What if none of them fit well?Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD) the Generalized Bootstrap (GB) and Monte Carlo simulation (MC). They provide the tables algorithms and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions and including situations where moments do not exist. Regardless of your specific field-physical science social science or statistics practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it you may be using obsolete methods wasting time and risking incorrect results. | Fitting Statistical Distributions The Generalized Lambda Distribution and Generalized Bootstrap Methods

GBP 59.99
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Probability Statistics and Data A Fresh Approach Using R

Probability Statistics and Data A Fresh Approach Using R

This book is a fresh approach to a calculus based first course in probability and statistics using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included using calculus when appropriate but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized quantified using simulations and demonstrated with real data. The book compares parametric and non-parametric methods through simulation allowing for a thorough investigation of testing error and power. The text builds R skills from the outset allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers so that you are working with current real data which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr ggplot2 tidyr stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University and the majority of the more than 400 exercises have been classroom tested. | Probability Statistics and Data A Fresh Approach Using R

GBP 82.99
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PSPICE and MATLAB for Electronics An Integrated Approach Second Edition

PSPICE and MATLAB for Electronics An Integrated Approach Second Edition

Used collectively PSPICE and MATLAB® are unsurpassed for circuit modeling and data analysis. PSPICE can perform DC AC transient Fourier temperature and Monte Carlo analysis of electronic circuits with device models and subsystem subcircuits. MATLAB can then carry out calculations of device parameters curve fitting numerical integration numerical differentiation statistical analysis and two- and three-dimensional plots. PSPICE and MATLAB® for Electronics: An Integrated Approach Second Edition illustrates how to use the strong features of PSPICE and the powerful functions of MATLAB for electronic circuit analysis. After introducing the basic commands and advanced features of PSPICE as well as ORCAD schematics the author discusses MATLAB fundamentals and functions. He then describes applications of PSPICE and MATLAB for problem solving. Applications covered include diodes operational amplifiers and transistor circuits. New to the Second Edition Updated MATLAB topics Schematic capture and text-based PSPICE netlists in several chapters New chapter on PSPICE simulation using the ORCAD schematic capture program New examples and problems along with a revised bibliography in each chapter This second edition continues to provide an introduction to PSPICE and a simple hands-on overview of MATLAB. It also demonstrates the combined power of PSPICE and MATLAB for solving electronics problems. The book encourages readers to explore the characteristics of semiconductor devices using PSPICE and MATLAB and apply the two software packages for analyzing electronic circuits and systems. | PSPICE and MATLAB for Electronics An Integrated Approach Second Edition

GBP 59.99
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