Miller & Freund's Probability and Statistics for Engineers (Classic Version) / Edition 9

by Richard Johnson, Irwin Miller, John Freund

Overview

Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially 2-level factorial design. The 9th Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become real-world engineers and scientists.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Product Details

ISBN-13:	9780134995380
Publisher:	Pearson Education
Publication date:	03/14/2018
Series:	Pearson Modern Classics for Advanced Statistics Series
Edition description:	New Edition
Pages:	552
Product dimensions:	8.00(w) x 9.90(h) x 1.00(d)

About the Author

Richard Johnson is the co-author of 7 statistics texts and monographs, including Probability and Statistics for Engineers and Applied Multivariate Statistical Analysis. He was the founding editor of Statistics and Probability Letters and served as editor for 25 years. Besides many years of experience in teaching all levels of statistics courses at the University of Wisconsin, he has published more than 120 technical papers concentrating in the areas of reliability and life testing, multivariate analysis, large sample theory, and applications to engineering. Johnson has presented talks on his research in 23 foreign countries. He is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and a Fellow of the Royal Statistical Society.

Table of Contents

1. Introduction
2. Organization and Description of Data
3. Probability
4. Probability Distributions
5. Probability Densities
6. Sampling Distributions
7. Inferences Concerning a Mean
8. Comparing Two Treatments
9. Inferences Concerning Variances
10. Inferences Concerning Proportions
11. Regression Analysis
12. Analysis of Variance
13. Factorial Experimentation
14. Nonparametric Tests
15. The Statistical Content of Quality Improvement Programs
16. Application to Reliability and Life Testing