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    Probability and Stochastic Modeling

Probability and Stochastic Modeling

Vladimir I. Rotar
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      Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.
      Format: CONTRIBUTORS: Vladimir I. Rotar EAN: 9780367380946 COUNTRY: United Kingdom PAGES: WEIGHT: 861 g HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2019-09-23 CITY: GENRE: MATHEMATICS / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Stochastics

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      Vladimir I. Rotar is a professor in the Department of Mathematics and Statistics at San Diego State University. Dr. Rotar has authored four books and more than 100 scientific papers on probability theory and its applications in leading mathematical journals.
      Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.
      Format: CONTRIBUTORS: Vladimir I. Rotar EAN: 9780367380946 COUNTRY: United Kingdom PAGES: WEIGHT: 861 g HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2019-09-23 CITY: GENRE: MATHEMATICS / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, TECHNOLOGY & ENGINEERING / Operations Research WIDTH: 178 cm SPINE:

      Book Themes:

      Probability and statistics, Stochastics

      Customer Reviews

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      Vladimir I. Rotar is a professor in the Department of Mathematics and Statistics at San Diego State University. Dr. Rotar has authored four books and more than 100 scientific papers on probability theory and its applications in leading mathematical journals.

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