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Concepts in Probability and Stochastic Modeling

Concepts in Probability and Stochastic Modeling - 95 edition

ISBN13: 978-0534231361

Cover of Concepts in Probability and Stochastic Modeling 95 (ISBN 978-0534231361)
ISBN13: 978-0534231361
ISBN10: 0534231365
Cover type:
Edition/Copyright: 95
Publisher: Duxbury Press
Published: 1995
International: No

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Concepts in Probability and Stochastic Modeling - 95 edition

ISBN13: 978-0534231361

James J. Higgins

ISBN13: 978-0534231361
ISBN10: 0534231365
Cover type:
Edition/Copyright: 95
Publisher: Duxbury Press

Published: 1995
International: No
Summary

This ground-breaking text stresses modern ideas, including simulation and interpretation of results. It focuses on aspects of probability most relevant to applied uses such as stochastic modeling, Markov chains, reliability, and queuing.

Features:

  • Conveys the idea that matrix algebra is an essential tool for a number of advanced statistical and mathematical techniques without assuming (as most texts do) that students have sufficient command of this subject.
       
  • Elementary parameter estimation and data analysis techniques are used as key components of the model-building process.
       
  • Small to moderate programming tasks are assigned in pseudo-code.
       
  • Concrete examples precede and motivate the theory.
       
  • Contains numerous graphics. Chapter 10 covers reliability models.

Author Bio

Higgins, James J. : Kansas State University

Keller-McNulty, Sallie : Kansas State University

Table of Contents

1. Basic Probability.

2. Discrete Random Variables.

3. Special Discrete Random Variables.

4. Markov Chains.

5. Continuous Random Variables.

6. Special Continuous Random Variables.

7. Markov Counting and Queuing Processes.

8. The Distribution of Sums of Random Variables.

9. Selected Systems Models.

10. Reliability Models.



Appendix. References.
Answers to Selected Odd-Numbered Exercises.
Index.

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