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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