Synopsis
This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Rigorous proofs are often replaced with sketches of arguments - with indications as to why a particular result holds, and also how it is connected with other results - and illustrated by examples. Wherever possible, the book includes references to more specialised texts containing both proofs and more advanced material related to the topics covered.
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.,." carefully selected topics from the area of stochastic modelling all presented in a master way.?
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Elements Of Stochastic Modelling
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Paperback. Condition: New. This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Rigorous proofs are often replaced with sketches of arguments - with indications as to why a particular result holds, and also how it is connected with other results - and illustrated by examples. Wherever possible, the book includes references to more specialised texts containing both proofs and more advanced material related to the topics covered. Seller Inventory # LU-9789812383013
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Elements Of Stochastic Modelling (Paperback)
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World Scientific Publishing Co Pte Ltd, Singapore, 2003
ISBN 10: 9812383018
ISBN 13: 9789812383013
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Paperback. Condition: new. Paperback. This textbook has been developed from the lecture notes for a one-semester course on stochastic modelling. It reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Rigorous proofs are often replaced with sketches of arguments - with indications as to why a particular result holds, and also how it is connected with other results - and illustrated by examples. Wherever possible, the book includes references to more specialized texts containing both proofs and more advanced material related to the topics covered. Developed from the lecture notes for a course on stochastic modelling, this textbook reviews the basics of probability theory and then covers the following topics: Markov chains, Markov decision processes, elements of queueing theory, basic renewal theory, elements of time series and simulation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789812383013
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