Mathematical Statistics describes the mathematical
underpinnings associated with the practice of statistics.
The pre-requisite for this book is a calculus-based
course in probability.
Nearly 200 figures and dozens of Monte Carlo simulation
experiments in R help develop the intuition behind the
Real-world problems from a wide range of fields
help the reader apply the statistical methods.
Over 300 exercises are used to reinforce concepts and
make this book appropriate for classroom use.
The table of contents for this book is given below.
1. Random Sampling
2. Point Estimation
3. Interval Estimation
4. Hypothesis Testing
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