Description |
667 pages : illustrations ; 26 cm + 1 CD-ROM (4 3/4 in.) |
Contents |
1. Data Analysis -- 2. Probability Theory -- 3. Discrete Random Variables and Their Distribution Functions -- 4. Continuous Random Variables and Their Distribution Functions -- 5. Multivariate Probability Distributions -- 6. Sampling Distribution Theory -- 7. Point and Interval Estimation -- 8. Hypothesis Testing -- 9. Statistical Analysis of Categorical Data -- 10. Linear Regression and Correlation -- 11. Multiple Linear Regression -- 12. Single Factor Experiments: Analysis of Variance -- 13. Design and Analysis of Multi-Factor Experiments -- 14. Statistical Quality Control -- A. Tables -- Answers to Selected Odd-Numbered Problems |
Summary |
"Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields." "As soon as he develops statistical concepts, the author presents applications to engineering, such as queuing theory, reliability theory, and acceptance sampling; computer science; public health and finance. Using both statistical software packages and scientific calculators, he reinforces fundamental concepts with numerous examples."--BOOK JACKET |
Notes |
"A Chapman & Hall book." |
Bibliography |
Includes bibliographical references and index |
Subject |
Probabilities.
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Mathematical statistics.
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LC no. |
2008013044 |
ISBN |
9781584888123 |
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1584888121 |
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