Introduction to Probability and Statistics for Engineers and Scientists

Ross, Sheldon M.

ISBN 10: 0123704839 / ISBN 13: 9780123704832

Editore: Academic Press, 2009

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Dati bibliografici

• Titolo: Introduction to Probability and Statistics for Engineers and Scientists
• Editore: Academic Press
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 0123704839
• ISBN 13: 9780123704832
• Rilegatura: hardcover
• Edizione: quarta edizione
• Condizione: Very Good
• Peso: 44 once

Descrizione articolo

Riassunto

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

New to the 4th Edition:
- New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests
- 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
- New Real data examples that use significant real data from actual studies across life science, engineering, computing and business
- New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material

Informazioni sull?autore

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.