Probability, Statistics, and Queueing Theory
With Computer Science Applications
- 408 pages
- English
- PDF
- Only available on web
Probability, Statistics, and Queueing Theory
With Computer Science Applications
About This Book
Probability, Statistics, and Queueing Theory: With Computer Science Applications focuses on the use of statistics and queueing theory for the design and analysis of data communication systems, emphasizing how the theorems and theory can be used to solve practical computer science problems. This book is divided into three parts. The first part discusses the basic concept of probability, probability distributions commonly used in applied probability, and important concept of a stochastic process. Part II covers the discipline of queueing theory, while Part III deals with statistical inference. This publication is designed as a junior-senior level textbook on applied probability and statistics with computer science applications, but is also a self-study book for practicing computer science (data processing) professionals.
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Table of contents
- Front Cover
- Probability, Statistics, and Queueing Theory: With Computer Science Applications
- Copyright Page
- Table of Contents
- Dedication
- PREFACE
- ACKNOWLEDGMENTS
- Chapter One. INTRODUCTION
- PART ONE: PROBABILITY
- PART TWO: QUEUEING THEORY
- PART THREE: STATISTICAL INFERENCE
- Appendix A: STATISTICAL TABLES
- Appendix B: APL PROGRAMS
- Appendix C: QUEUEING THEORY DEFINITIONS AND FORMULAS
- NUMERICAL ANSWERS TO SELECTED EXERCISES
- INDEX