eBook - PDF

Applied Statistics and Probability for Engineers

Name: Applied Statistics and Probability for Engineers
Author: Douglas C. Montgomery, George C. Runger

Douglas C. Montgomery, George C. Runger

722 pages
English
PDF
Available on iOS & Android

eBook - PDF

Applied Statistics and Probability for Engineers

Douglas C. Montgomery, George C. Runger

Book details

Table of contents

Citations

About This Book

Applied Statistics and Probability for Engineers provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The base content, examples, exercises and answers presented in this product have been meticulously checked for accuracy.

The Enhanced E-Text is also available bundled with an abridged print companion and can be ordered by contacting customer service here:
ISBN: 9781119456261
Price: $97.95
Canadian Price: $111.50

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Information

Publisher

Wiley

Year

2018

ISBN

9781119400332

Edition

Topic

Technology & Engineering

Subtopic

Industrial Engineering

Index

Technology & Engineering

Cover
Title Page
Copyright
Preface
Contents
Chapter 1: The Role of Statistics in Engineering
Chapter 2: Probability
Chapter 3: Discrete Random Variables and Probability Distributions
Chapter 4: Continuous Random Variables and Probability Distributions
Chapter 5: Joint Probability Distributions
Chapter 6: Descriptive Statistics
Chapter 7: Point Estimation of Parameters and Sampling Distributions
Chapter 8: Statistical Intervals for a Single Sample
Chapter 9: Tests of Hypotheses for a Single Sample
Chapter 10: Statistical Inference for Two Samples
Chapter 11: Simple Linear Regression and Correlation
Chapter 12: Multiple Linear Regression
Chapter 13: Design and Analysis of Single-Factor Experiments: The Analysis of Variance
Chapter 14: Design of Experiments with Several Factors
Chapter 15: Statistical Quality Control
Appendix A: Statistical Tables and Charts
Appendix B: Bibliography
Glossary
Exercises
Index
EULA