Mathematical Statistics with Resampling and R is popular PDF and ePub book, written by Laura M. Chihara in 2012-09-05, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Mathematical Statistics with Resampling and R can be Read Online from any device for your convenience.

Mathematical Statistics with Resampling and R Book PDF Summary

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.

Detail Book of Mathematical Statistics with Resampling and R PDF

Mathematical Statistics with Resampling and R
  • Author : Laura M. Chihara
  • Release : 05 September 2012
  • Publisher : John Wiley & Sons
  • ISBN : 9781118518953
  • Genre : Mathematics
  • Total Page : 432 pages
  • Language : English
  • PDF File Size : 20,9 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Mathematical Statistics with Resampling and R by Laura M. Chihara, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

All of Statistics

All of Statistics Author : Larry Wasserman
Publisher : Springer Science & Business Media
File Size : 52,6 Mb
Get Book
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, ...

An Introduction to Statistical Learning

An Introduction to Statistical Learning Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor
Publisher : Springer Nature
File Size : 14,9 Mb
Get Book
An Introduction to Statistical Learning provides an accessible overview of the field of statistical ...

An Introduction to Statistical Learning

An Introduction to Statistical Learning Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher : Springer Science & Business Media
File Size : 53,8 Mb
Get Book
An Introduction to Statistical Learning provides an accessible overview of the field of statistical ...