A First Course in Stochastic Models - Hardcover

Über die Autorin bzw. den Autor

Henk C. Tijms is a Dutch mathematician and Emeritus Professor of Operations Research at the VU University Amsterdam. He studied mathematics in Amsterdam where he graduated from the University of Amsterdam in 1972 under supervision of Gijsbert de Leve.

Von der hinteren Coverseite

The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved.

• Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.
• Incorporates recent developments in computational probability.
• Includes a wide range of examples that illustrate the models and make the methods of solution clear.
• Features an abundance of motivating exercises that help the student learn how to apply the theory.
• Accessible to anyone with a basic knowledge of probability.

Aus dem Klappentext

The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved.

• Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.
• Incorporates recent developments in computational probability.
• Includes a wide range of examples that illustrate the models and make the methods of solution clear.
• Features an abundance of motivating exercises that help the student learn how to apply the theory.
• Accessible to anyone with a basic knowledge of probability.