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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Main Author: | |
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Chichester, West Sussex :
Wiley,
2016.
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Series: | Online access with DDA: Askews (Maths)
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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.