ABSTRACT

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures

chapter 1|22 pages

Experiments

chapter 2|20 pages

Mathematical Preliminaries

chapter 3|46 pages

Probability

chapter 4|28 pages

Discrete Random Variables

chapter 5|24 pages

Continuous Random Variables

chapter 6|12 pages

Quantifying Population Attributes

chapter 7|28 pages

Data

chapter 8|16 pages

Lots of Data

chapter 9|36 pages

Inference

chapter 10|36 pages

1-Sample Location Problems

chapter 11|36 pages

2-Sample Location Problems

chapter 12|32 pages

The Analysis of Variance

chapter 13|12 pages

Goodness-of-Fit

chapter 14|30 pages

Association

chapter 15|38 pages

Simple Linear Regression

chapter 16|18 pages

Simulation-Based Inference