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
This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a ...
This book is a multi-purpose document.
Basic theory: simple random sampling; Sampling with varying probabilities; Stratified sampling; Ratio method of estimation; Regression method of estimation; Choice of sampling unit; Sub-sampling; Systematic sampling; Non-sampling errors.
A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.
Basic theory: simple random sampling; Sampling with varying probabilities; Stratified sampling; Ratio method of estimation; Regression method of estimation; Choice of sampling unit; Sub-sampling; Systematic sampling; Non-sampling errors.
Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey.
This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years.
This new handbook contains the most comprehensive account of sample surveys theory and practice to date.
The book is an updated, high level reference survey addressed to researchers, professionals and practitioners in many fields. This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013.
Sample Survey Theory provides a rigorous introduction to survey sampling theory and methodology suitable for students and researchers.