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Sinopsis
An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.
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Reseña del editor
This textbook is intended for one-semester courses in stochastic processes for students familiar with elementaiy probability theory and calculus. The objectives of the book are to introduce students to the standard conr,epts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems. This revised edition includes twice the number of exercises as the f irst edition, many of which are applications problems, and several sections have been rewritten for clarity.
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An Introduction to Stochastic Modeling
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Academic Pr, 1994
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ISBN 13: 9780126848854
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An Introduction to Stochastic Modeling
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An Introduction to Stochastic Modeling
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An Introduction to Stochastic Modeling
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An Introduction to Stochastic Modeling
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Elsevier Science Publishing Co Inc, 1993
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Hardback. Condición: Good. An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful. Nº de ref. del artículo: CIN0126848858G
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An Introduction to Stochastic Modeling
Publicado por
Elsevier Science Publishing Co Inc, 1993
ISBN 10: 0126848858
ISBN 13: 9780126848854
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 2 de 5 estrellas
Hardback. Condición: Very Good. An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful. Nº de ref. del artículo: CIN0126848858VG
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