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Mathematical Statistics with Applications in R

Eugene Demidenko
4.9/5 (25981 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:The goal of this textbook is to fill the gap between existing textbooks in mathematical and applied statistics with real-life applications that inevitably require some level of programming. With over 40 years of teaching and industrial experience, the author shows how theoretical statistics can be turned into a powerful problem-solver. The applications include both personal and collaborative work: statistical image shape analysis, analysis of text authentication, marketing and adstock theory, stock price analysis and optimal portfolio allocation, nonlinear fitting of the electron paramagnetic resonance signals for radiation dose estimation, ROC, spatial statistics and epidemiology, cluster analysis, etc., among a host of other modern day topics. Data sets are shared both in-text and online. The R language is used exclusively throughout the book. The tree major components of the book include probability, statistics, and an extensive appendix on matrix algebra and optimization. Each section has plentiful problems at the end.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mathematical Statistics with Applications in R. To get started finding Mathematical Statistics with Applications in R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
704
Format
PDF, EPUB & Kindle Edition
Publisher
Wiley
Release
2019
ISBN
1118594282

Mathematical Statistics with Applications in R

Eugene Demidenko
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: The goal of this textbook is to fill the gap between existing textbooks in mathematical and applied statistics with real-life applications that inevitably require some level of programming. With over 40 years of teaching and industrial experience, the author shows how theoretical statistics can be turned into a powerful problem-solver. The applications include both personal and collaborative work: statistical image shape analysis, analysis of text authentication, marketing and adstock theory, stock price analysis and optimal portfolio allocation, nonlinear fitting of the electron paramagnetic resonance signals for radiation dose estimation, ROC, spatial statistics and epidemiology, cluster analysis, etc., among a host of other modern day topics. Data sets are shared both in-text and online. The R language is used exclusively throughout the book. The tree major components of the book include probability, statistics, and an extensive appendix on matrix algebra and optimization. Each section has plentiful problems at the end.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mathematical Statistics with Applications in R. To get started finding Mathematical Statistics with Applications in R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
704
Format
PDF, EPUB & Kindle Edition
Publisher
Wiley
Release
2019
ISBN
1118594282

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