Probability and Statistics in Engineering and Management Science
3rd Edition
Published on 16. January 1990
Book
Hardback
752 pages
978-0-471-60090-9 (ISBN)
Description
Providing an introduction to probability and statistics, this text covers statistical quality control and reliability, topics that other books often leave out. Emphasizing quality and essential material for all engineers, it features chapters on decision theory and stochastic models as well as a discussion of computer programs for multiple regression analysis giving a broader range of subject matter. Also incorporated are examples of real data allowing students and instructors to appreciate the reality and practicality of real data as opposed to artificially manipulated data.
More details
Edition
3rd Revised edition
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Edition type
Revised edition
Illustrations
index
Dimensions
Height: 241 mm
Width: 163 mm
Weight
1178 gr
ISBN-13
978-0-471-60090-9 (9780471600909)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
William W. Hines | Douglas C. Montgomery | David M. Goldsman
Probability and Statistics in Engineering
Book
01/2003
4th Edition
Wiley
€192.00
Article is exhausted; no reprint
Content
Introduction and Data Description; An Introduction to Probability; One-Dimension Random Variables; Functions of One Random Variable and Expectation; Joint Probability Distributions; Some Important Discrete Distributions; Some Important Continuous Distributions; The Normal Distribution; Random Samples and Sampling Distributions; Parameter Estimation; Tests of Hypotheses; Design and Analysis of Single-Factor Experiments; The Analysis of Variance; Design of Experiments with Several Factors; Simple Linear Regression and Correlation; Multiple Regression; Nonparametric Statistics; Statistical Quality Control and Reliability Engineering; Stochastic Processes and Queuing; Statistical Decision Theory.