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Author : Pandurang Vasudeo Sukhatme
Publisher :
Page : 528 pages
File Size : 22,39 MB
Release : 1954
Category : Sampling (Statistics).
ISBN :
Basic theory: simple random sampling. Sampling with varying probabilities. Stratified sampling. Ratio method of estimation. Regression method estimation. Choice of sampling unit. Sub-sampling. Systematic sampling. Non-sampling errors.
Author : Pandurang Vasudeo Sukhatme
Publisher :
Page : 526 pages
File Size : 40,11 MB
Release : 1954
Category : Sampling (Statistics).
ISBN :
Basic theory: simple random sampling. Sampling with varying probabilities. Stratified sampling. Ratio method of estimation. Regression method estimation. Choice of sampling unit. Sub-sampling. Systematic sampling. Non-sampling errors.
Author : Raghunath Arnab
Publisher : Academic Press
Page : 932 pages
File Size : 40,85 MB
Release : 2017-03-08
Category : Mathematics
ISBN : 0128118970
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
Author : Balkrishna V. Sukhatme
Publisher :
Page : 0 pages
File Size : 33,4 MB
Release : 1984
Category : Sampling (Statistics)
ISBN :
Author : Pandurang V. Sukhatme
Publisher :
Page : 491 pages
File Size : 14,56 MB
Release : 1960
Category :
ISBN :
Author : Gupta Arjun K
Publisher : World Scientific Publishing Company
Page : 236 pages
File Size : 43,80 MB
Release : 2011-03-11
Category : Mathematics
ISBN : 9813107960
Sample surveys is the most important branch of statistics. Without sample surveys there is no data, and without data there is no statistics. This book is the culmination of the lecture notes developed by the authors. The approach is theoretical in the sense that it gives mathematical proofs of the results in sample surveys. Intended as a textbook for a one-semester course for undergraduate seniors or first-year graduate students, a prerequisite basic knowledge of algebra, calculus, and statistical theory is required to master the techniques described in this book.
Author : Pandurang Vasudeo Sukhatme
Publisher : Bombay : Iowa State University Press
Page : 482 pages
File Size : 28,6 MB
Release : 1970
Category : Sampling (Statistics).
ISBN :
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.
Author : Arijit Chaudhuri
Publisher : CRC Press
Page : 241 pages
File Size : 29,81 MB
Release : 2018-09-28
Category : Mathematics
ISBN : 149877475X
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 comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.
Author : Carl-Erik Särndal
Publisher : Springer Science & Business Media
Page : 716 pages
File Size : 50,54 MB
Release : 2003-10-31
Category : Mathematics
ISBN : 9780387406206
Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.
Author : Changbao Wu
Publisher : Springer Nature
Page : 371 pages
File Size : 24,73 MB
Release : 2020-05-15
Category : Social Science
ISBN : 3030442462
The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.