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Probability and statistics in engineering / William W. Hines [and others].

By: Material type: TextTextPublisher: Hoboken, NJ : Wiley, [2003]Copyright date: ©2003Edition: Fourth editionDescription: xii, 655 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0471240877
  • 9780471240877
Related works:
  • Revision of: Hines, William W. Probability and statistics in engineering and management science
Subject(s): DDC classification:
  • 519.2 21
LOC classification:
  • TA340 .H55 2003
Contents:
1. An Introduction to Probability -- 2. One-Dimensional Random Variables -- 3. Functions of One Random Variable and Expectation -- 4. Joint Probability Distributions -- 5. Some Important Discrete Distributions -- 6. Some Important Continuous Distributions -- 7. The Normal Distribution -- 8. Introduction to Statistics and Data Description -- 9. Random Samples and Sampling Distributions -- 10. Parameter Estimation -- 11. Tests of Hypotheses -- 12. Design and Analysis of Single-Factor Experiments: The Analysis of Variance -- 13. Design of Experiments with Several Factors -- 14. Simple Linear Regression and Correlation -- 15. Multiple Regression -- 16. Nonparametric Statistics -- 17. Statistical Quality Control and Reliability Engineering -- 18. Stochastic Processes and Queueing -- 19. Computer Simulation.
Review: "Now with even more examples with real data, real-world applications, and computer exercises, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professional engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer simulation, as well exceptionally clear statistical coverage, expanded discussions of quality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis."--BOOK JACKET.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 519.2 PRO (Browse shelf(Opens below)) 1 Available A265546B

Revised edition of: Probability and statistics in engineering and management science / William W. Hines, Douglas C. Montgomery.

Includes bibliographical references (pages 637-638) and index.

1. An Introduction to Probability -- 2. One-Dimensional Random Variables -- 3. Functions of One Random Variable and Expectation -- 4. Joint Probability Distributions -- 5. Some Important Discrete Distributions -- 6. Some Important Continuous Distributions -- 7. The Normal Distribution -- 8. Introduction to Statistics and Data Description -- 9. Random Samples and Sampling Distributions -- 10. Parameter Estimation -- 11. Tests of Hypotheses -- 12. Design and Analysis of Single-Factor Experiments: The Analysis of Variance -- 13. Design of Experiments with Several Factors -- 14. Simple Linear Regression and Correlation -- 15. Multiple Regression -- 16. Nonparametric Statistics -- 17. Statistical Quality Control and Reliability Engineering -- 18. Stochastic Processes and Queueing -- 19. Computer Simulation.

"Now with even more examples with real data, real-world applications, and computer exercises, the Fourth Edition of this accessible text prepares you for situations you're likely to encounter as a professional engineer. Together with new co-authors David Goldsman and Connie Borror, William Hines and Douglas Montgomery have refined their highly effective pedagogical framework to make their text even more user friendly. This Fourth Edition also features a new chapter on statistical methods for computer simulation, as well exceptionally clear statistical coverage, expanded discussions of quality control, experimental design, and different types of interval estimation, and coverage of such special topics as nonparametric statistics, p-values in hypothetical testing, and residual analysis."--BOOK JACKET.

Machine converted from AACR2 source record.

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