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The Statistical Analysis of Doubly Truncated Data - With Applications in R

, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an;

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Analysis of Doubly Truncated Data

This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to;

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Testing and Inspection Using Acceptance Sampling Plans

statistical theory, methodology and applications of acceptance sampling from truncated life tests. Further, it discusses the latest;

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Machine Learning for Knowledge Discovery with R

thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Statistical Analysis of Microbiome Data with R

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world;

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Doubly Classified Model with R

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these;

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Introduction to R for Terrestrial Ecology

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Modern Industrial Statistics - With Applications in R, MINITAB and JMP, 3e

appendices Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book Part;

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Food Security, Poverty and Nutrition Policy Analysis

interventions. Further, this is the first book to explore actual data with STATA and R statistical packages that also provides a line-by-line guide to;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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An Introduction to Data Analysis in R

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;

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Mathematical Statistics with Applications

statistical concepts, and an appendix introducing students to statistical data analysis using R can be found at the end of the eTextbook.;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R;

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Truncated and Censored Samples

This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a;

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Truncated and Censored Samples

This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a;

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RStudio for R Statistical Computing Cookbook

Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book;

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Data Science Tools

application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using;

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Basic Statistics and Pharmaceutical Statistical Applications

information on software applications to assist with evaluating data. New to the Third Edition Use of Excel (R) and;

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Basic Statistics and Pharmaceutical Statistical Applications

information on software applications to assist with evaluating data. New to the Third Edition Use of Excel (R) and Minitab (R) for;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Statistical Computing Environments for Social Research

data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research;

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Nonparametric Tests for Censored Data

truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are;

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Biostatistics and Computer-based Analysis of Health Data using R

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed;

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