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Beschreibung

*Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024*

A trusted market leader for four decades, Sheldon Ross's Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Through its hallmark exercises and real examples, this valuable course text

Introduction to Probability Models provides the reader with a comprehensive course in the subject, from foundations to advanced topics.

*Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024*

A trusted market leader for four decades, Sheldon Ross's Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Through its hallmark exercises and real examples, this valuable course text

Introduction to Probability Models provides the reader with a comprehensive course in the subject, from foundations to advanced topics.

Über den Autor
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Inhaltsverzeichnis
1. Introduction to Probability Theory
2. Random Variables
3. Conditional Probability and Conditional Expectation
4. Markov Chains
5. The Exponential Distribution and the Poisson Process
6. Continuous-Time Markov Chains
7. Renewal Theory and Its Applications
8. Queueing Theory
9. Reliability Theory
10. Brownian Motion and Stationary Processes
11. Simulation
12. Coupling
13. Martingales
Details
Erscheinungsjahr: 2023
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9780443187612
ISBN-10: 0443187614
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Ross, Sheldon M.
Auflage: 13. Auflage
Hersteller: Elsevier Science Publishing Co Inc
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 227 x 151 x 43 mm
Von/Mit: Sheldon M. Ross
Erscheinungsdatum: 05.07.2023
Gewicht: 1,424 kg
Artikel-ID: 127010418

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