Keeping mathematical jargon and formality to a minimum, this text explores the basic concepts, methods and techniques of sampling. As well as "classical" sample designs, it explores a host of recently developed techniques for network sampling, small area and prevalence estimation, estimation of standard errors in complex surveys, and many others. Statistical issues are presented heuristically and explained with the aid of commonly encountered real-life examples applicable to any field where sampling surveys are used.

Review

“The book remains a very appropriately written text for classroom use, especially for students studying public health or epidemiology, or for undergraduate majors in statistics and related fields.” ( Biometrics, June 2009)

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