Introduction to Probability and Statistics for Engineers and Scientists
Academic Press Inc (Verlag)
978-0-12-598057-9 (ISBN)
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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.
The Third Edition includes new exercises, examples, and applications, updated statistical material, and more.
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.
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
Nonparametric Hypothesis Tests
Quality Control
LifeTesting
Appendix of Tables
Erscheint lt. Verlag | 21.7.2004 |
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Zusatzinfo | Approx. 100 illustrations; Illustrations |
Verlagsort | San Diego |
Sprache | englisch |
Maße | 191 x 235 mm |
Gewicht | 1160 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
Mathematik / Informatik ► Mathematik ► Statistik | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
ISBN-10 | 0-12-598057-4 / 0125980574 |
ISBN-13 | 978-0-12-598057-9 / 9780125980579 |
Zustand | Neuware |
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