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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Main Authors | , , |
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Format | eBook Book |
Language | English |
Published |
Chichester
John Wiley & Sons
2016
Wiley John Wiley & Sons, Incorporated Wiley-Blackwell |
Edition | 1 |
Subjects | |
Online Access | Get full text |
ISBN | 9781119152729 1119152720 9781119152750 1119152755 |
DOI | 10.1002/9781119152743 |
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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. |
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Bibliography: | Includes bibliographical references (p. [633]-642) and indexes |
ISBN: | 9781119152729 1119152720 9781119152750 1119152755 |
DOI: | 10.1002/9781119152743 |