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Probability and Statistics in Engineering

By: Contributor(s): Material type: TextTextPublication details: Hoboken, NJ : Wiley, c2003.Edition: 4th edDescription: xii, 655 p. : ill. ; 27 cmISBN:
  • 978812651646
Subject(s): DDC classification:
  • 519.2   22
Contents:
Chapter 1. An Introduction to Probability. Chapter 2. One-Dimensional Random Variables. Chapter 3. Functions of One Random Variable and Expectation. Chapter 4. Joint Probability Distributions. Chapter 5. Some Important Discrete Distributions. Chapter 6. Some Important Continuous Distributions. Chapter 7. The Normal Distribution. Chapter 8. Introduction to Statistics and Data Description. Chapter 9. Random Samples and Sampling Distributions. Chapter 10. Parameter Estimation. Chapter 11. Tests of Hypotheses. Chapter 12. Design and Analysis of Single-Factor Experiments: The Analysis of Variance. Chapter 13. Design of Experiments with Several Factors. Chapter 14. Simple Linear Regression and Correlation. Chapter 15. Multiple Regression. Chapter 16. Nonparametric Statistics. Chapter 17. Statistical Quality Control and Reliability Engineering. Chapter 18. Stochastic Processes and Queueing. Chapter 19. Computer Simulation. Appendix. References. Answers to Selected Exercises. Index.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 519.2 / HI. P 2002 (Browse shelf(Opens below)) 1 Available 002891

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

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

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

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