Survey Sampling Theory and Applications

Nonfiction, Science & Nature, Mathematics, Probability, Statistics
Cover of the book Survey Sampling Theory and Applications by Raghunath Arnab, Elsevier Science
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Author: Raghunath Arnab ISBN: 9780128118979
Publisher: Elsevier Science Publication: March 8, 2017
Imprint: Academic Press Language: English
Author: Raghunath Arnab
ISBN: 9780128118979
Publisher: Elsevier Science
Publication: March 8, 2017
Imprint: Academic Press
Language: English

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling.

The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students.

  • Covers a wide spectrum of topics on survey sampling and statistics
  • Serves as an ideal text for graduate students and researchers in survey sampling theory and applications
  • Contains material on recent developments in survey sampling not covered in other books
  • Illustrates theories using numerical examples and exercises
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Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling.

The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students.

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