Student Solutions Manual for Miller & Freund's Probability and Statistics for Engineers
Pearson (Publisher)
9th Edition
Will be published approx. on 23. January 2017
Book
Paperback/Softback
136 pages
978-0-13-388945-1 (ISBN)
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 277 mm
Width: 211 mm
Thickness: 10 mm
Weight
304 gr
ISBN-13
978-0-13-388945-1 (9780133889451)
Schweitzer Classification
Other editions
Previous edition

Richard A. Johnson | Irwin Miller | John E. Freund
Student Solutions Manual for Miller & Freund's Probability and Statistics for Engineers
Book
02/2010
8th Edition
Pearson
€33.41
Article exhausted; check for reprint
Persons
About our 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.
Content
Introduction
Organization and Description of Data
Probability
Probability Distributions
Probability Densities
Sampling Distributions
Inferences Concerning a Mean
Comparing Two Treatments
Inferences Concerning Variances
Inferences Concerning Proportions
Regression Analysis
Analysis of Variance
Factorial Experimentation
Nonparametric Tests
The Statistical Content of Quality Improvement Programs
Application to Reliability and Life Testing
Organization and Description of Data
Probability
Probability Distributions
Probability Densities
Sampling Distributions
Inferences Concerning a Mean
Comparing Two Treatments
Inferences Concerning Variances
Inferences Concerning Proportions
Regression Analysis
Analysis of Variance
Factorial Experimentation
Nonparametric Tests
The Statistical Content of Quality Improvement Programs
Application to Reliability and Life Testing