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Preface | |
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Stochastic Processes: Description and Definition | |
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Introduction | |
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Description and Definition | |
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Probability Distributions | |
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The Markov Process | |
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The Renewal Process | |
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The Stationary Process | |
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A Plan for the Remaining Chapters | |
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References | |
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Exercises | |
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Elementary Review Exercises | |
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Advanced Review Exercises | |
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Markov Chains | |
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Introduction | |
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The n-Step Transition Probability Matrix | |
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Classification of States | |
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A Canonical Representation of the Transition Probability Matrix | |
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Classification of States in Practice | |
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Finite Markov Chains with Transient States | |
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References | |
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Exercises | |
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Irreducible Markov Chains with Ergodic States | |
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Transient Behavior | |
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Limiting Behavior | |
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First Passage and Related Results | |
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References | |
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Exercises | |
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Branching Processes and other Special Topics | |
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Branching Processes | |
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Markov Chains of Order Higher than 1 | |
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Lumpable Markov Chains | |
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Reversed Markov Chains | |
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References | |
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Exercises | |
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Statistical Inference for Markov Chains | |
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Estimation of the Elements in a Transition Probability Matrix | |
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Hypothesis Testing Issues for Markov Chains | |
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Inference From Partially Observable Markov Chains | |
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Statistical Inference for Branching Processes | |
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Additional Comments | |
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References | |
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Exercises | |
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Applied Markov Chains | |
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Queueing Models | |
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Inventory Systems | |
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Storage Models | |
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Industrial Mobility of Labor | |
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Educational Advancement | |
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Human Resource Management | |
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Term Structure | |
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Income Determination under Uncertainty | |
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A Markov Decision Process | |
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References | |
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Simple Markov Processes | |
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Examples | |
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Markov Processes: General Properties | |
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The Poisson Process | |
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The Pure Birth Process | |
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The Pure Death Process | |
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Birth and Death Processes | |
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Limiting Distributions | |
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Markovian Networks | |
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Additional Examples | |
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References | |
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Exercises | |
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Statistical Inference for Simple Markov Processes | |
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Estimation of Parameters | |
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Hypothesis Testing for Simple Markov Processes | |
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Statistical Inference for Queues | |
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Additional Examples | |
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References | |
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Exercises | |
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Applied Markov Processes | |
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Queueing Models | |
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The Machine Interference Problem | |
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Queueing Networks | |
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Flexible Manufacturing Systems | |
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Inventory Systems | |
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Reliability Models | |
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Markovian Combat Models | |
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Stochastic Models for Social Networks | |
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Recovery, Relapse, and Death Due to Disease | |
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References | |
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Renewal Processes | |
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Introduction | |
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Renewal Processes when Time is Discrete | |
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Renewal Processes when Time is Continuous | |
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Alternating Renewal Processes | |
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Markov Renewal Processes (Semi-Markov Processes) | |
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Renewal Reward Processes | |
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Statistical Inference for Renewal Processes | |
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Additional Examples | |
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References | |
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Exercises | |
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Stationary Processes and Time Series Analysis | |
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Definition | |
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Some Examples | |
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Ergodic Theorems | |
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Covariance Stationary Processes in the Frequency Domain | |
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Time Series Analysis: Introduction | |
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Stochastic Models for Time Series | |
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The Autoregressive Process | |
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The Moving Average Process | |
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A Mixed Autoregressive Moving Average Process | |
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Autoregressive Integrated Moving Average Processes | |
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Time Series Analysis in the Time Domain | |
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Spectral Analysis of Time Series Data | |
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References | |
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Exercises | |
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Simulation and Markov Chain Monte Carlo | |
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Introduction | |
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Simulation | |
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Markov Chain Monte Carlo | |
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References | |
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Answers to Selected Exercises | |
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Appendix | |
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Author Index | |
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Subject Index | |