Mathematical Statistics with Resampling and R

Product Number: EB00737102
Released: Sep 28, 2018
Business Term: Purchase
ISBN: #9781119416531
Publisher: Wiley
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Description

This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: -Exploratory data analysis -Calculation of sampling distributions -The Central Limit Theorem -Monte Carlo sampling -Maximum likelihood estimation and properties of estimators -Confidence intervals and hypothesis tests -Regression -Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. Mathematical Statistics with Resampling and R is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.

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Genre: Science
Original Publish Date: Sep 17, 2018

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eBook
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Genre: Science
Product Number EB00063803
Released: Aug 19, 2013
Business Term: Purchase
Publisher: Wiley
ISBN: #9781118518953

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