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" ''This new species of affliction'': "
Nieman, John Patrick
Lewis, Jayne E
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BL
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776517
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b596514
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by Denis Bosq, Hung T. Nguyen.
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A Course in Stochastic Processes : : Stochastic Models and Statistical Inference\ by Denis Bosq, Hung T. Nguyen.
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| Publication Statement
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Dordrecht : Springer Netherlands, 1996
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Theory and decision library., Series B,, Mathematical and statistical methods ;, 34.
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(x, 354 pages)
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9401587698
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: 9789401587693
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| Contents
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1 Basic Probability Background --; 2 Modeling Random Phenomena --; 3 Discrete --; Time Markov Chains --; 4 Poisson Processes --; 5 Continuous --; Time Markov Chains --; 6 Random Walks --; 7 Renewal Theory --; 8 Queueing Theory --; 9 Stationary Processes --; 10 ARMA model --; 11 Discrete-Time Martingales --; 12 Brownian Motion and Diffusion Processes --; 13 Statistics for Poisson Processes --; 14 Statistics of Discrete-Time Stationary Processes --; 15 Statistics of Diffusion Processes --; A Measure and Integration --; A.l Extension of measures --; A.2 Product measures --; A.3 Some theorems on integrals --; B Banach and Hilbert Spaces --; B.l Definitions --; B.3 Hilbert spaces --; B.4 Fourier series --; B.5 Applications to probability theory --; List of Symbols --; Partial Solutions to Selected Exercises.
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| Abstract
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This volume is an introduction to stochastic processes and their statistics. Basic stochastic processes are developed from real world situations to the need for generating mathematical models, while at the same time students learn to apply theoretical models. The lessons cover basic stochastic processes such as Poisson processes, Markov chains, random walks, renewal theory, queuing theory, ARMA models, martingales, Brownian motion and diffusion processes. The statistical topics treated include the basic aspects of statistics of point processes, stationary processes and diffusion processes. Audience: This textbook will be useful for one-semester courses at graduate level to students of mathematics, statistics, computer science, electrical and industrial engineering and economics.
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Distribution (Probability theory)
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Mathematics.
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Statistics.
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Denis Bosq
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Hung T Nguyen
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