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Stationary Stochastic Processes
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Stationary Stochastic Processes : Theory and Applications

Book Details

Format Hardback or Cased Book
ISBN-10 1466557796
ISBN-13 9781466557796
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 1st, 2012
Print length 376 Pages
Weight 704 grams
Dimensions 24.00 x 16.30 x 2.20 cms
Product Classification: Probability & statisticsStochastics
Ksh 18,900.00
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In recent years, applications of advanced stochastic processes have expanded greatly. Intended for students taking a second course in stochastic processes, this textbook presents an overview of theory with applications in engineering and science. This book covers key topics such as ergodicity, crossing problems, and extremes, and opens the doors to a selection of special topics for the teacher to expand on, like extreme value theory, filter theory, long-range dependence, and point processes, and includes many exercises and examples to illustrate the theory.

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes.

Features

  • Presents and illustrates the fundamental correlation and spectral methods for stochastic processes and random fields
  • Explains how the basic theory is used in special applications like detection theory and signal processing, spatial statistics, and reliability
  • Motivates mathematical theory from a statistical model-building viewpoint
  • Introduces a selection of special topics, including extreme value theory, filter theory, long-range dependence, and point processes
    • Provides more than 100 exercises with hints to solutions and selected full solutions
  • This book covers key topics such as ergodicity, crossing problems, and extremes, and opens the doors to a selection of special topics, like extreme value theory, filter theory, long-range dependence, and point processes, and includes many exercises and examples to illustrate the theory. Precise in mathematical details without being pedantic, Stationary Stochastic Processes: Theory and Applications is for the student with some experience with stochastic processes and a desire for deeper understanding without getting bogged down in abstract mathematics.


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