Applied Probability and Stochastic Processes [recurso electrónico] / by Richard M. Feldman, Ciriaco Valdez-Flores.

Por: Feldman, Richard M [author.]Colaborador(es): Valdez-Flores, Ciriaco [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Descripción: XV, 397 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642051586Tema(s): Engineering | Computer simulation | Engineering economy | Business logistics | Engineering | Engineering Economics, Organization, Logistics, Marketing | Production/Logistics | Simulation and Modeling | Statistical Physics, Dynamical Systems and ComplexityFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.5 Clasificación LoC:TA177.4-185Recursos en línea: Libro electrónicoTexto
Contenidos:
Basic Probability Review -- Basics of Monte Carlo Simulation -- Basic Statistical Review -- Poisson Processes -- Markov Chains -- Markov Processes -- Queueing Processes -- Queueing Networks -- Event-Driven Simulation and Output Analyses -- Inventory Theory -- Replacement Theory -- Markov Decision Processes -- Advanced Queues.
En: Springer eBooksResumen: This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous examples and exercises to illustrate the range of engineering and science applications of the concepts. The book is designed to give the reader an intuitive understanding of probabilistic reasoning, in addition to an understanding of mathematical concepts and principles. The initial chapters present a summary of probability and statistics and then Poisson processes, Markov chains, Markov processes and queuing processes are introduced. Advanced topics include simulation, inventory theory, replacement theory, Markov decision theory, and the use of matrix geometric procedures in the analysis of queues. Included in the second edition are appendices at the end of several chapters giving suggestions for the use of Excel in solving the problems of the chapter. Also new in this edition are an introductory chapter on statistics and a chapter on Poisson processes that includes some techniques used in risk assessment. The old chapter on queues has been expanded and broken into two new chapters: one for simple queuing processes and one for queuing networks. Support is provided through the web site http://apsp.tamu.edu where students will have the answers to odd numbered problems and instructors will have access to full solutions and Excel files for homework.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos TA177.4 -185 (Browse shelf(Abre debajo)) 1 No para préstamo 373735-2001

Basic Probability Review -- Basics of Monte Carlo Simulation -- Basic Statistical Review -- Poisson Processes -- Markov Chains -- Markov Processes -- Queueing Processes -- Queueing Networks -- Event-Driven Simulation and Output Analyses -- Inventory Theory -- Replacement Theory -- Markov Decision Processes -- Advanced Queues.

This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous examples and exercises to illustrate the range of engineering and science applications of the concepts. The book is designed to give the reader an intuitive understanding of probabilistic reasoning, in addition to an understanding of mathematical concepts and principles. The initial chapters present a summary of probability and statistics and then Poisson processes, Markov chains, Markov processes and queuing processes are introduced. Advanced topics include simulation, inventory theory, replacement theory, Markov decision theory, and the use of matrix geometric procedures in the analysis of queues. Included in the second edition are appendices at the end of several chapters giving suggestions for the use of Excel in solving the problems of the chapter. Also new in this edition are an introductory chapter on statistics and a chapter on Poisson processes that includes some techniques used in risk assessment. The old chapter on queues has been expanded and broken into two new chapters: one for simple queuing processes and one for queuing networks. Support is provided through the web site http://apsp.tamu.edu where students will have the answers to odd numbered problems and instructors will have access to full solutions and Excel files for homework.

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