9780898714418: Stochastic Processes

Sinossi

Ideal for courses aiming to give examples of the variety of empirical phenomena for which stochastic processes provide mathematical models.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Descrizione del libro

Ideal for courses aiming to give examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models. It introduces the methods of probability model building and provides the reader with mathematically sound techniques as well as the ability to further study the theory of stochastic processes.

Contenuti

Preface to the Classics Edition; Preface; Role of the Theory of Stochastic Processes; 1.Random Variables and Stochastic Processes; 2. Conditional Probability and Conditional Expectation; 3. Normal Processes and Covariance Stationary Processes; 4.Counting Processes and Poisson Processes; 5. Renewal Counting Processes; 6. Markov Chains: Discrete Parameter; 7. Markov Chains: Continuous Parameter; References; Author Index; Subject Index.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo