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Probability, statistics, and queueing theory : with computer science applications /
This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to s...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Academic Press : Harcourt Brace Jovanovich,
�1990.
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| Edición: | 2nd ed. |
| Colección: | Computer science and scientific computing.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Probability, Statistics, and Queueing Theory: With Computer Science Applications; Copyright Page; Deditcation; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction; Part One: Probability; Preface to Part One: Probability; Chapter 2. Probability and Random Variables; 2.0 Introduction; 2.1 Sample Spaces and Events; 2.2 Probability Measures; 2.3 Combinatorial Analysis; 2.4 Conditional Probability; 2.5 Random Variables; 2.6 Parameters of Random Variables; 2.7 Jointly Distributed Random Variables; 2.8 Conditional Expectation; 2.9 Transform Methods; 2.10 Inequalities.
- 2.11 ExercisesReferences; Chapter 3. Probability Distributions; 3.0 Introduction; 3.1 Discrete Random Variables; 3.2 Continuous Random Variables; 3.3 Central Limit Theorem; 3.4 Applied Transforms; 3.5 Summary; 3.6 Exercises; References; Chapter 4. Stochastic Processes; 4.0 Introduction; 4.1 Definitions; 4.2 The Poisson Process; 4.3 Birth-and-Death Process; 4.4 Markov Chains; 4.5 Renewal Theory; 4.6 Exercises; References; Part Two: Queueing Models; Preface to Part Two: Queueing Models; Chapter 5. Queueing Theory; 5.0 Introduction; 5.1 Describing a Queueing System.
- 5.2 Birth-and-Death Process Models5.3 Embedded Markov Chain Systems; 5.4 Priority Queueing Systems; 5.5 Bounds and Approximations; 5.6 Summary; 5.7 Exercises; References; Chapter 6. Queueing Models of Computer Systems; 6.0 Introduction; 6.1 Finite Population Models; 6.2 Jackson Networks; 6.3 BCMP Queueing Networks; 6.4 Summary; 6.5 Exercises; References; Part Three: Statistical Inference; Preface to Part Three: Statistical Inference; Chapter 7. Estimation and Data Analysis; 7.0 Introduction; 7.1 Estimators; 7.2 Confidence Intervals; 7.3 Exploratory Data Analysis; 7.4 Exercises; References.