Survey Sampling Theory and Applications

Raghunath Arnab

ISBN 10: 0128118482 / ISBN 13: 9780128118481

Published by Academic Press, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780128118481

Bibliographic Details

• Title: Survey Sampling Theory and Applications
• Publisher: Academic Press
• Publication Date: 2017
• Language: English
• ISBN 10: 0128118482
• ISBN 13: 9780128118481
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 42D millimeters 229 millimeters width by 152 millimeters height by 42 millimeters depth
• Weight: 1481 grams

About this title

Synopsis

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

About the Author

Prof. Raghunath Arnab is a Professor of Statistics, University of Botswana, Botswana and Honorary Professor of Statistics, University of KwaZulu-Natal, South Africa. Prof. Arnab received his Ph.D. degree in 1981 from the Indian Statistical Institute, Kolkata. He is a co-author of the book A new concept for tuning design weights in survey sampling (jointly with Prof. S. Singh, Prof. A. Sedory, Prof. M. der Mar Rueda, Prof. A. Arcos) and an author of numerous research articles, Associate editor of the Journal of Statistical Theory and Practice, Model Assisted statistics and its Applications, Journal of the Indian Society of Agricultural Statistics and Advances and Applications in Statistics. Prof. Arnab was an elected member of the International Statistical Institute, Life member of the International Statistical Institute and a member of the Biometric Society.