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IngramOlkin,Leon JGleser,CyrusDerman

Probability Models And Applications (Revised Second Edition)

Probability Models And Applications (Revised Second Edition)

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  • More about Probability Models And Applications (Revised Second Edition)

This reissue of a textbook explores the role of probability models in scientific and practical applications, with examples and explanations of real-world use and testing of fit. It provides a foundation for deriving distributions and conditional probability for further studies in statistics and stochastic processes.

\n Format: Paperback / softback
\n Length: 732 pages
\n Publication date: 09 September 2019
\n Publisher: World Scientific Publishing Co Pte Ltd
\n


This reissue of a textbook, written by renowned experts in the field, explores the profound impact that probability models have had, and continue to have, on scientific and practical applications. It serves as a comprehensive resource, offering a wealth of examples and real-world data showcasing the practical applications of probability models across various domains. The book introduces the mathematical theory of probability at an introductory calculus-based level, providing a solid foundation for readers to understand and apply these concepts.

In addition to providing detailed descriptions of probability models and their properties, the book delves into the methods used to test the goodness of fit of these models. It sheds light on the criteria and techniques employed to evaluate the accuracy and reliability of probability models in capturing real-world phenomena. By presenting these insights, readers gain a deep understanding of the strengths and limitations of probability models and are equipped with the necessary tools to apply them effectively in their research and decision-making processes.

Furthermore, the book provides readers with a solid foundation in techniques for deriving distributions of various summaries of data. This knowledge is essential for subsequent studies in statistics and prepares students for more advanced courses in stochastic processes. The book also emphasizes the importance of conditional probability, a fundamental concept in probability theory, and its applications in understanding and analyzing complex systems.

Overall, this reissue of the textbook is a valuable resource for students, researchers, and practitioners interested in probability models and their applications. It offers a comprehensive and up-to-date coverage of the field, providing readers with a deep understanding of the mathematical theory, practical insights, and testing methodologies necessary to apply probability models successfully in a wide range of scientific and practical contexts.

\n Weight: 1324g\n
Dimension: 251 x 173 x 38 (mm)\n
ISBN-13: 9789813202047\n
Edition number: 2 Revised edition\n

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