John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition

Series
Pearson
Author
Irwin Miller / Marylees Miller  
Publisher
Pearson
Cover
Softcover
Edition
8
Language
English
Total pages
476
Pub.-date
August 2013
ISBN13
9781292025001
ISBN
129202500X
Related Titles


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9781292025001
John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition
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Description

John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices.

 

This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.

Features

  • “The Theory in Practice” sections at the end of every chapter give students the chance to apply the methods they’ve learned.
  • More than 1,200 exercises offer a wide variety to choose from in creating assignments, tests, and class work. Many of these exercises offer the opportunity to use technology so that students can understand the role of computers in factoring and analyzing statistical data.
  • Comprehensive coverage of statistical theories students have appreciated for generations.
  • Comprehensive appendices summarize the properties of the special probability distributions and density functions, making this text an invaluable reference.

New to this Edition

  • The clear writing style is Freund’s legacy, and has been carefully revised for today’s students.
  • Learning aids throughout this text support students in their studies. These include formal presentations of Definitions and enhancements in the emphasis of Theorems, Definitions, and Examples.

Table of Contents

1. Introduction

2. Probability

3. Probability Distributions and Probability Densities

4. Mathematical Expectation

5. Special Probability Distributions

6. Special Probability Densities

7. Functions of Random Variables

8. Sampling Distributions

9. Decision Theory

10. Point Estimation

11. Interval Estimation

12. Hypothesis Testing

13. Tests of Hypotheses Involving Means, Variances, and Proportions

14. Regression and Correlation