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Survey Sampling Theory and Applications

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Title: Survey Sampling Theory and Applications
Description: 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
Authors: Raghunath Arnab
Resource Type: eBook.
Subjects: Sampling (Statistics), Mathematical statistics
Categories: MATHEMATICS / Probability & Statistics / Stochastic Processes
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Data: 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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    Classifications:
      – Code: 519.52
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Sampling (Statistics)
        Type: general
      – SubjectFull: Mathematical statistics
        Type: general
    Titles:
      – TitleFull: Survey Sampling Theory and Applications
        Type: main
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          Name:
            NameFull: Raghunath Arnab
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            NameFull: Raghunath Arnab
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 23
              M: 03
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9780128118481
            – Type: isbn-electronic
              Value: 9780128118979
          Titles:
            – TitleFull: Survey Sampling Theory and Applications
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