Probability models and applications [electronic resource] / Ingram Olkin, Leon J. Gleser, Cyrus Derman.
By: Olkin, Ingram.
Contributor(s): Gleser, Leon Jay | Derman, Cyrus.
Material type: BookPublisher: Singapore : World Scientific Publishing Co. Pte Ltd., [2019], ©2020Edition: Rev. 2nd ed.Description: 1 online resource (732 p.) : ill.ISBN: 9789813202054.Subject(s): Probabilities -- Textbooks | Distribution (Probability theory) -- Textbooks | Electronic booksDDC classification: 519.2 Online resources: Access to full text is restricted to subscribers. Summary: "Written by renowned experts in the field, this 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."-- Publisher's website.Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Title from title screen (World Scientific, viewed October 29, 2019).
"This book was previously published by Prentice Hall, Inc., copyright 1994 by Macmillan College Publishing Company, Inc.."--Copyright page.
Includes bibliographical references and indexes.
"Written by renowned experts in the field, this 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."-- Publisher's website.
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