A course in statistics with R

Integrates the theory and applications of statistics using R A Course in Statistics with R 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 Maste...

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Bibliographic Details
Main Author Tattar, Prabhanjan, 1979-
Other Authors Ramaiah, Suresh, 1979-, Manjunath, B. G., 1981-
Format Electronic eBook
LanguageEnglish
Published Chichester, West Sussex : Wiley, 2016.
SeriesOnline access with DDA: Askews (Maths)
Subjects
Mathematical statistics > Data processing.
R (Computer program language)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781119152729
1119152720
9781523114917
1523114916
9781119152750
1119152755
9781119152736
1119152739
9781119152743
1119152747
Physical Description1 online resource

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Table of Contents:
  • The Preliminaries. Why R?
  • The R Basics
  • Data Preparation and Other Tricks
  • Exploratory Data Analysis
  • Probability and Inference. Probability Theory
  • Probability and Sampling Distributions
  • Parametric Inference
  • Nonparametric Inference
  • Bayesian Inference
  • Stochastic Processes and Monte Carlo. Stochastic Processes
  • Monte Carlo Computations
  • Linear Models. Linear Regression Models
  • Experimental Designs
  • Multivariate Statistical Analysis
  • I
  • Multivariate Statistical Analysis
  • II
  • Categorical Data Analysis
  • Generalized Linear Models
  • Appendix A: Open Source Software: An Epilogue
  • Appendix B: The Statistical Tables.

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