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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