Introduction to Probability and Statistics for Engineers and Scientists

Sheldon M. Ross 지음

elsevier 2004년 07월 21일 출간

작품소개

책소개

This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross shows how probability yields insight into statistical problems, 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, and the enclosed CD-ROM includes software that automates the required computations. The Third Edition includes new exercises, examples, and applications, updated statistical material, and more.New in this edition:* New exercises and data examples including: - The One-sided Chebyshev Inequality for Data - The Logistics Distribution and Logistic Regression - Estimation and Testing in proofreader problems - Product Form Estimates of Life Distributions - Observational Studies* Updated statistical material* New, contemporary applicationsHallmark features:* Reflects Sheldon Ross's masterfully clear exposition* Contains numerous examples, exercises, and homework problems* Unique, easy-to-use software automates required computations* Applies probability theory to everyday statistical problems and situations* Careful development of probability, modeling, and statistical procedures leads to intuitive understanding* Instructor's Solutions Manual is available to adopters

목차

PrefaceIntroduction to StatisticsDescriptive StatisticsElements of ProbabilityRandom Variables and ExpectationSpecial Random VariablesDistributions of Sampling StatisticsParameter EstimationHypothesis TestingRegressionAnalysis of VarianceGoodness of Fit Tests and Categorical Data AnalysisNonparametric Hypothesis TestsQuality ControlLifeTestingAppendix of Tables

출판사 서평

"As a textbook, it provides a solid foundation for probability and statistics with introduction to some useful applied topics."-Roger M. Sauter, Boeing Commercial Airplane Group, in TECHNOMETRICS, VOL. 47, 2005"...an excellent introduction to classical Probability Theory and Statistics. The explanations are absolutely clear [with] well chosen examples...I simply love it."- Gabor Szekely, Bowling Green State University"...numerous homework problems at varying levels of difficulty...do an excellent job of testing the students' grasp of the material..."- Charles Dunkl, University of Virginia

인물정보

저자(글) Sheldon M. Ross

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD 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, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.