This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.
Intended primarily for graduate students and researchers in finite population sampling, this book will also be of interest to statisticians who use sampling and lecturers and researchers in general statistics and biostatistics.
Covers a new but essential development in the field of population sampling, namely inference in finite sampling.
... Inference for finite population sampling utilizes prior information either explicitly or implicitly. Bayesian inference makes explicit use of this information as part of the model. This is in striking contrast to design- based inference in ...
Minimax Solutions in Sampling from Finite Populations
Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings...
Johnson N. L. and Kotz , S. 1970a . Continuous Univariate Distributions -- 1 ... Johnson , T. E. and Wood , G. B. 1987. Simple linear model reliably ... Jukola - Sulonen , E. L. and Salemaa , M , 1985. A comparison of different sampling ...
All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics.
Basic ideas and concepts; Methods of sampling; Methods of estimation.
In addition, the book includes real examples, applications, and a large set of exercises with solutions. The book begins with a look at the history of survey sampling.