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Introduction to Probability and Statistics for Engineers and Scientists - Sheldon M. Ross

Introduction to Probability and Statistics for Engineers and Scientists

(Autor)

Buch | Hardcover
680 Seiten
2009 | 4th edition
Academic Press Inc (Verlag)
978-0-12-370483-2 (ISBN)
CHF 127,40 inkl. MwSt
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Provides an introduction to applied probability and statistics for engineering or science majors. This book 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.
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.

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.

1. Introduction to Statistics
2. Descriptive Statistics
3. Elements of Probability
4. Random Variables and Expectation
5. Special Random Variables
6. Distributions of Sampling Statistics
7. Parameter Estimation
8. Hypothesis Testing
9. Regression
10. Analysis of Variance
11. Goodness of Fit Tests and Categorical Data Analysis
12. NonparametricHypothesisTests
13. Quality Control
14. LifeTesting
15. Simulation, Bootstrap Statistical Methods, and Permutation Tests

Erscheint lt. Verlag 13.3.2009
Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Gewicht 1250 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik
ISBN-10 0-12-370483-9 / 0123704839
ISBN-13 978-0-12-370483-2 / 9780123704832
Zustand Neuware
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