Isbn: 9780792340874 - a course in stochastic processes: stochastic models and statistical inference (theory and decision library b, 34, band 34) (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 1996

    0792340876 / 9780792340874

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    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Kluwer Academic Publishers, 1996

    0792340876 / 9780792340874

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    Zustand: New. This volume is an introduction to stochastic processes and their statistics. Basic stochastic processes are developed from real world situations to the need for generating mathematical models. Series: Theory and Decision Library B. Num Pages: 354 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 20. Weight in Grams: 691. . 1996. Hardback. . . . . Books ship from the US and Ireland.

  • Sprache: Englisch

    Verlag: Springer, 1996

    0792340876 / 9780792340874

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text is an Elementary Introduction to Stochastic Processes in discrete and continuous time with an initiation of the statistical inference. The material is standard and classical for a first course in Stochastic Processes at the senior/graduate level (lessons 1-12). To provide students with a view of statistics of stochastic processes, three lessons (13-15) were added. These lessons can be either optional or serve as an introduction to statistical inference with dependent observations. Several points of this text need to be elaborated, (1) The pedagogy is somewhat obvious. Since this text is designed for a one semester course, each lesson can be covered in one week or so. Having in mind a mixed audience of students from different departments (Math ematics, Statistics, Economics, Engineering, etc.) we have presented the material in each lesson in the most simple way, with emphasis on moti vation of concepts, aspects of applications and computational procedures. Basically, we try to explain to beginners questions such as 'What is the topic in this lesson ' 'Why this topic ', 'How to study this topic math ematically '. The exercises at the end of each lesson will deepen the stu dents' understanding of the material, and test their ability to carry out basic computations. Exercises with an asterisk are optional (difficult) and might not be suitable for homework, but should provide food for thought.