Probability Models and Applications - Couverture rigide

Olkin, Ingram; Gleser, Leon J; Derman, Cyrus

Couverture rigide

ISBN 10 : 9813202033 ISBN 13 : 9789813202030

Editeur : World Scientific Publishing Co Pte Ltd, 2019

Synopsis

Written by renowned experts in the field, this authorized reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes.

A propos du livre

Présentation de l'éditeur

Written by renowned experts in the field, this authorized reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes.

Détails de l'édition

• Éditeur: World Scientific Publishing Co Pte Ltd
• Date d'édition: 2019
• ISBN 10: 9813202033
• ISBN 13: 9789813202030
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 2
• Nombre de pages: 732
• Coordonnées du fabricant: non disponible