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Computational & Applied Mathematics & Statistics
Lawrence M. Leemis
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 statistical methods. 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
This is a 50 page preview of the book "Mathematical Statistics" by permission of the author. If interested in the entire work, the book is available for purchase.
Leemis, L. (2020). Random Sampling. Mathematical statistics . Lawrence M. Leemis. https://scholarworks.wm.edu/asbookchapters/126