Applied Probability Models with Optimization Applications (Dover Books on Mathematics)

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9780486673141: Applied Probability Models with Optimization Applications (Dover Books on Mathematics)

"A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized ... an excellent introduction to applied probability." — Journal of the American Statistical Association.
This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models.
Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition.

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Ross, Sheldon M.
ISBN 10: 0486673146 ISBN 13: 9780486673141
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Descrizione libro 1992. PAP. Condizione libro: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Codice libro della libreria V0-9780486673141

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Sheldon M. Ross
Editore: Dover Publications Inc., United States (1992)
ISBN 10: 0486673146 ISBN 13: 9780486673141
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Descrizione libro Dover Publications Inc., United States, 1992. Paperback. Condizione libro: New. New edition. Language: English . Brand New Book. A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized . an excellent introduction to applied probability. -- Journal of the American Statistical Association. This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models. Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition. Codice libro della libreria AAC9780486673141

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Descrizione libro Dover Publishers. Condizione libro: New. Brand New. Codice libro della libreria 0486673146

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Descrizione libro 1992. PAP. Condizione libro: New. New Book.Shipped from US within 10 to 14 business days. Established seller since 2000. Codice libro della libreria IB-9780486673141

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Descrizione libro Dover Publications Inc., United States, 1992. Paperback. Condizione libro: New. New edition. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized . an excellent introduction to applied probability. -- Journal of the American Statistical Association. This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models. Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition. Codice libro della libreria BTE9780486673141

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Sheldon M. Ross
Editore: Dover Publications Inc., United States (1992)
ISBN 10: 0486673146 ISBN 13: 9780486673141
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Descrizione libro Dover Publications Inc., United States, 1992. Paperback. Condizione libro: New. New edition. Language: English . Brand New Book. A clarity of style and a conciseness of treatment which students will find most welcome. The material is valuable and well organized . an excellent introduction to applied probability. -- Journal of the American Statistical Association. This book offers a concise introduction to some of the stochastic processes that frequently arise in applied probability. Emphasis is on optimization models and methods, particularly in the area of decision processes. After reviewing some basic notions of probability theory and stochastic processes, the author presents a useful treatment of the Poisson process, including compound and nonhomogeneous Poisson processes. Subsequent chapters deal with such topics as renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous time optimization models. Each chapter is followed by a section of useful problems that illustrate and complement the text. There is also a short list of relevant references at the end of every chapter. Students will find this a largely self-contained text that requires little previous knowledge of the subject. It is especially suited for a one-year course in applied probability at the advanced undergraduate or beginning postgraduate level. 1970 edition. Codice libro della libreria AAC9780486673141

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Descrizione libro Dover Publications, 1992. Paperback. Condizione libro: New. Codice libro della libreria 0486673146

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