lyngby vandglas zero from GBP 32 | See the cheapest prices and offers on css.nordicadpartner.dk

Acceptance Sampling in Quality Control

Acceptance Sampling in Quality Control Third Edition presents the state of the art in the methodology of sampling while integrating both theory and best practices. It discusses various standards including those from the ISO MIL-STD and ASTM and explores how to set quality levels. The book also includes problems at the end of each chapter with solutions. This edition improves upon the previous editions especially in the areas of software applications and compliance sampling plans. New to the Third Edition: Numerous Microsoft Excel templates to address sampling plans are used. Commercial software applications are discussed at the end of many chapters. Discussion of quick switching systems has been expanded to account for the considerable recent activity in this area. Added discussion of zero acceptance number chained quick switching systems.

GBP 115.00

1

Transfer Learning through Embedding Spaces

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success however is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning few-shot learning domain adaptation continual learning lifelong learning and collaborative learning. | Transfer Learning through Embedding Spaces

GBP 44.99

1

Sample Size Calculations in Clinical Research

Praise for the Second Edition:… this is a useful comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study. BiometricsThis impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative binary and time-to-event outcomes are covered comprehensively with separate sample size formulae for testing equality non-inferiority and equivalence. Many less familiar topics are also covered … – Journal of the Royal Statistical SocietySample Size Calculations in Clinical Research Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications this book includes a well-balanced summary of current and emerging clinical issues regulatory requirements and recently developed statistical methodologies for sample size calculation. Features:Compares the relative merits and disadvantages of statistical methods for sample size calculationsExplains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stagesPresents real-world examples from several therapeutic areas including cardiovascular medicine the central nervous system anti-infective medicine oncology and women’s healthProvides sample size calculations for dose response studies microarray studies and Bayesian approachesThis new edition is updated throughout includes many new sections and five new chapters on emerging topics: two stage seamless adaptive designs cluster randomized trial design zero-inflated Poisson distribution clinical trials with extremely low incidence rates and clinical trial simulation.

GBP 38.99

1

Computer Graphics Through OpenGL From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS THE PROGRAMMABLE PIPELINE AND WEBGL From geometric primitives to animation to 3D modeling to lighting shading and texturing Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts. Equally emphasizing theory and practice the book provides an understanding not only of the principles of 3D computer graphics but also the use of the OpenGL® Application Programming Interface (API) to code 3D scenes and animation including games and movies. The undergraduate core of the book takes the student from zero knowledge of computer graphics to a mastery of the fundamental concepts with the ability to code applications using fourth-generation OpenGL® as well as using WebGL® in order to publish to the web. The remaining chapters explore more advanced topics including the structure of curves and surfaces applications of projective spaces and transformations and the implementation of graphics pipelines. This book can be used for introductory undergraduate computer graphics courses over one to two semesters. The careful exposition style attempting to explain each concept in the simplest terms possible should appeal to the self-study student as well. Features Covers the foundations of 3D computer graphics including animation visual techniques and 3D modeling Comprehensive coverage of OpenGL® 4. x including the GLSL and vertex fragment tessellation and geometry shaders Comprehensive coverage of WebGL® 2. 0. Includes 440 programs and experiments Contains 700 exercises 100 worked examples and 650 four-color illustrations Requires no previous knowledge of computer graphics Balances theory with programming practice using a hands-on interactive approach to explain the underlying concepts | Computer Graphics Through OpenGL® From Theory to Experiments

GBP 110.00

1

Applied Categorical and Count Data Analysis

Developed from the authors’ graduate-level biostatistics course Applied Categorical and Count Data Analysis Second Edition explains how to perform the statistical analysis of discrete data including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept model and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition is a major revision of the first adding much new material. It covers classic concepts and popular topics such as contingency tables logistic regression models and Poisson regression models along with modern areas that include models for zero-modified count outcomes parametric and semiparametric longitudinal data analysis reliability analysis and methods for dealing with missing values. As in the first edition R SAS SPSS and Stata programming codes are provided for all the examples enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R SAS SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4 5 and 8 (Chapters 4-6 and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE

GBP 74.99

1

Monitoring the Health of Populations by Tracking Disease Outbreaks Saving Humanity from the Next Plague

With COVID-19 sweeping across the globe with near impunity it is thwarting governments and health organizations efforts to contain it. Not since the 1918 Spanish Flu have citizens of developed countries experienced such a large-scale disease outbreak that is having devastating health and economic impacts. One reason such outbreaks are not more common has been the success of the public health community including epidemiologists and biostatisticians in identifying and then mitigating or eliminating the outbreaks. Monitoring the Health of Populations by Tracking Disease Outbreaks: Saving Humanity from the Next Plague is the story of the application of statistics for disease detection and tracking. The work of public health officials often crucially depends on statistical methods to help discern whether an outbreak may be occurring and if there is sufficient evidence of an outbreak then to locate and track it. Statisticians also help collect critical information and they analyze the resulting data to help investigators zero in on a cause for a disease. With the recent outbreaks of diseases such as swine and bird flu Ebola and now COVID-19 the role that epidemiologists and biostatisticians play is more important than ever. Features: · Discusses the crucial roles of statistics in early disease detection. · Outlines the concepts and methods of disease surveillance. · Covers surveillance techniques for communicable diseases like Zika and chronic diseases such as cancer. · Gives real world examples of disease investigations including smallpox syphilis anthrax yellow fever and microcephaly (and its relationship to the Zika virus). Via the process of identifying an outbreak finding its cause and developing a plan to prevent its reoccurrence this book tells the story of how medical and public health professionals use statistics to help mitigate the effects of disease. This book will help readers understand how statisticians and epidemiologists help combat the spread of such diseases in order to improve public health across the world. | Monitoring the Health of Populations by Tracking Disease Outbreaks Saving Humanity from the Next Plague

GBP 31.99

1

Vores kunder ligger øverst på Google

Google Ads Specialister fra Vestjylland

Brand

Merchant

Price (EUR)