Introduction To Probability And Statistics For Engineers And Scientists

Hardcover | August 14, 2014

bySheldon M. RossEditorSheldon M. Ross

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Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has tremendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications connect probability theory to everyday statistical problems and situations. Clear exposition by a renowned expert author Real data examples that use significant real data from actual studies across life science, engineering, computing and business End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material 25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science New additions to proofs in the estimation section New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

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From the Publisher

Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical...

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A...

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Format:HardcoverDimensions:686 pages, 9.41 × 7.24 × 0.98 inPublished:August 14, 2014Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0123948118

ISBN - 13:9780123948113

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Extra Content

Table of Contents

Preface

Ch1 Introduction to Statistics

Ch2 Descriptive Statistics

Ch3 Elements of Probability

Ch4 Random Variables and Expectation

Ch5 Special Random Variables

Ch6 Distributions of Sampling Statistics

Ch7 Parameter Estimation

Ch8 Hypothesis Testing

Ch9 Regression

Ch10 Analysis of Variance

Ch11 Goodness of Fit Tests and Categorical Data Analysis

Ch12 non parametric HypothesisTests

Ch13 Quality Control

Ch14 LifeTesting

Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests

Appendix of Tables

Editorial Reviews

"...the book is intended for an introductory course, and assumes elementary calculus."--Gazette of the Australian Mathematical Society, Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition