Course in Statistics with R

Integrates the theory and applications of statistics using R this book has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during ea...

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Bibliographic Details
Main Authors Tattar, Prabhanjan, Ramaiah, Suresh, Manjunath, B. G.
Format eBook Book
LanguageEnglish
Published Chichester John Wiley & Sons 2016
Wiley
John Wiley & Sons, Incorporated
Wiley-Blackwell
Edition1
Subjects
Online AccessGet full text
ISBN9781119152729
1119152720
9781119152750
1119152755
DOI10.1002/9781119152743

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Summary:Integrates the theory and applications of statistics using R this book has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation.
Bibliography:Includes bibliographical references (p. [633]-642) and indexes
ISBN:9781119152729
1119152720
9781119152750
1119152755
DOI:10.1002/9781119152743