Mathematical Statistics with Resampling and R

This thoroughly updated second edition combines 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. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

Produk Detail:

  • Author : Laura M. Chihara
  • Publisher : John Wiley & Sons
  • Pages : 560 pages
  • ISBN : 1119416523
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMathematical Statistics with Resampling and R

Mathematical Statistics with Resampling and R

Mathematical Statistics with Resampling and R
  • Author : Laura M. Chihara,Tim C. Hesterberg
  • Publisher : John Wiley & Sons
  • Release : 17 September 2018
GET THIS BOOKMathematical Statistics with Resampling and R

This thoroughly updated second edition combines 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. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques.

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  • Release : 12 November 2019
GET THIS BOOKAdvanced Statistics with Applications in R

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  • Publisher : SIAM
  • Release : 24 June 2019
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  • Release : 24 June 2013
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  • Publisher : Springer Nature
  • Release : 29 April 2021
GET THIS BOOKModern Mathematical Statistics with Applications

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  • Publisher : Springer Science & Business Media
  • Release : 27 June 2008
GET THIS BOOKIntroductory Statistics with R

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  • Publisher : Cengage Learning
  • Release : 27 October 2014
GET THIS BOOKMathematical Statistics with Applications

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  • Publisher : Academic Press
  • Release : 20 August 1974
GET THIS BOOKRandom Integral Equations with Applications to Life Sciences and Engineering

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