Authors: Hulya Cingi, Cem Kadilar

Advances in Sampling Theory- Ratio Method of Estimation

eBook: US $21 Special Offer (PDF + Printed Copy): US $90
Printed Copy: US $80
Library License: US $84
ISBN: 978-1-60805-646-0 (Print)
ISBN: 978-1-60805-012-3 (Online)
Year of Publication: 2009
DOI: 10.2174/97816080501231090101


This is an ideal textbook for researchers interested in sampling methods, survey methodologists in government organizations, academicians, and graduate students in statistics, mathematics and biostatistics. This textbook makes advanced topics easy to grasp for the readers. Many theoretical discussions about the latest estimators in literature are incorporated into almost all the chapters. This feature helps the academicians acquire necessary skills to follow up recent studies on their own. More than just an introductory text, the reader, who has mastered the contents of this book, should attain a level so as to be able to make a major contribution to the technical and research literature of sampling theory.


Written by two of the most prolific researchers in the area of sampling theory and survey methodology, Advances in Sampling Theory- Ratio Method of Estimation by Bentham Science Publisher is a wonderful resource for anyone who wants to work in the area of sampling theory in general and in the area of ratio and regression estimation in particular. The authors, Professor Hulya Cingi and Professor Cem Kadilar have published extensively on this topic and have drawn heavily not only from their own work, but also from the work of other researchers in the field. Most of the existing versions of the ratio and regression estimators under different sampling designs are covered in this book. Use of Taylor’s Series approximations is illustrated very effectively using different estimators. Overall, the book is a nice blend of theory and applications and can be used equally effectively both by researchers in this field and by survey data analysts

Sat Gupta, PhD
Professor of Statistics
The University of North Carolina at Greensboro
Editor: Journal of Statistical Theory and Practice


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