Introduction to Mathematical Statistics and Its Applications, An

by ;
Edition: 6th
Format: Hardcover
Pub. Date: 2017-01-05
Publisher(s): Pearson
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Summary

For courses in Mathematical Statistics


Introducing the principles of statistics and data modeling

Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a two-semester course, the book touches on both statistics and experimental design, which teaches students various ways  to analyze data. It gives computational-minded students a necessary and realistic exposure to identifying data models.

Table of Contents

  1. Introduction

  2. Probability

  3. Random Variables

  4. Special Distributions

  5. Estimation

  6. Hypothesis Testing

  7. Inferences Based on the Normal Distribution

  8. Types of Data: A Brief Overview

  9. Two-Sample Inferences

  10. Goodness-of-Fit Tests

  11. Regression

  12. The Analysis of Variance

  13. Randomized Block Designs

  14. Nonparametric Statistics

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