Introduction to Probability and Statistics for Engineers and Scientists

ISBN-10: 0123704839

ISBN-13: 9780123704832

Edition: 4th 2009

List price: $105.00
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Description:

This updated text 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 remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e ISBN:9780123705280 - Unique, easy-to-use software included: automates the computations required for the exercises - Updated statistical material - Careful development of probability, modeling, and statistical procedures leads to intuitive understanding
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Book details

List price: $105.00
Edition: 4th
Copyright year: 2009
Publisher: Elsevier Science & Technology Books
Publication date: 1/30/2009
Binding: Hardcover
Pages: 680
Size: 7.75" wide x 9.50" long x 1.25" tall
Weight: 3.234
Language: English

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 First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.

Preface
Introduction to Statistics
Descriptive Statistics
Elements of Probability
Random Variables and Expectation
Special Random Variables
Distributions of Sampling Statistics
Parameter Estimation
Hypothesis Testing
Regression
Analysis of Variance
Goodness of Fit Tests and Categorical Data Analysis
NonparametricHypothesisTests
Quality Control
LifeTesting
Simulation, Bootstrap Statistical Methods, and Permutation Tests
Appendix of Tables
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