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First Course in Stochastic Models
Contributor(s): Tijms (Author)
ISBN: 0471498807     ISBN-13: 9780471498803
Publisher: John Wiley & Sons
OUR PRICE:   $93.05  
Product Type: Hardcover - Other Formats
Published: April 2003
Qty:
Annotation: 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.
"A First Course in Stochastic Models" is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations research, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Dewey: 519.23
LCCN: 2002193371
Physical Information: 1.22" H x 6.16" W x 9.28" (1.78 lbs) 496 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.

A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.