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
Language:English
Published: Chichester, West Sussex : Wiley, 2016.
Series:Online access with DDA: Askews (Maths)
Subjects:
Online Access: Full text (Wentworth users only)
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.