Elementary Sampling Theory
Author | : Taro Yamane |
Publisher | : |
Total Pages | : 420 |
Release | : 1967 |
Genre | : |
ISBN | : |
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Author | : Taro Yamane |
Publisher | : |
Total Pages | : 420 |
Release | : 1967 |
Genre | : |
ISBN | : |
Author | : Paul P. Coggins |
Publisher | : |
Total Pages | : 4 |
Release | : 1928 |
Genre | : Sampling (Statistics) |
ISBN | : |
Author | : Changbao Wu |
Publisher | : Springer Nature |
Total Pages | : 371 |
Release | : 2020-05-15 |
Genre | : 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.
Author | : S. Sampath |
Publisher | : Alpha Science Int'l Ltd. |
Total Pages | : 218 |
Release | : 2005 |
Genre | : Sampling (Statistics) |
ISBN | : 9781842652145 |
Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes a number of estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developments including estimation of distribution functions, adaptive sampling schemes etc. New to the Second Edition: *Contents reorganized to establish a coherent link between various concepts *Several numerical examples associated with real life solutions for bringing out the relevance of theory in real life context
Author | : William Edwards Deming |
Publisher | : Courier Corporation |
Total Pages | : 644 |
Release | : 1966-01-01 |
Genre | : Mathematics |
ISBN | : 9780486646848 |
An analysis of the problems, theory, and design of sampling techniques; assumes only college-level algebra. "The 'bible' of sampling statisticians." ? American Statistical Association Journal. 1950 edition.
Author | : Ahmed I. Zayed |
Publisher | : CRC Press |
Total Pages | : 356 |
Release | : 1993-07-23 |
Genre | : Mathematics |
ISBN | : 9780849342936 |
Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis. The author not only traces the history and development of the theory, but also presents original research and results that have never before appeared in book form. Recent techniques covered include the Feichtinger-Gröchenig sampling theory; frames, wavelets, multiresolution analysis and sampling; boundary-value problems and sampling theorems; and special functions and sampling theorems. The book will interest graduate students and professionals in electrical engineering, communications, and applied mathematics.
Author | : R. Singh |
Publisher | : Springer Science & Business Media |
Total Pages | : 390 |
Release | : 2013-03-09 |
Genre | : Mathematics |
ISBN | : 9401714045 |
Modern statistics consists of methods which help in drawing inferences about the population under consideration. These populations may actually exist, or could be generated by repeated· experimentation. The medium of drawing inferences about the population is the sample, which is a subset of measurements selected from the population. Each measurement in the sample is used for making inferences about the population. The populations and also the methods of sample selection differ from one field of science to the other. Social scientists use surveys tocollectthe sample information, whereas the physical scientists employ the method of experimentation for obtaining this information. This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design. Several excellent books on sampling theory are available in the market. These books discuss the theory of sample surveys in great depth and detail, and are suited to the postgraduate students majoring in statistics. Research workers in the field of sampling methodology can also make use of these books. However, not many suitable books are available, which can be used by the students and researchers in the fields of economics, social sciences, extension education, agriculture, medical sciences, business management, etc. These students and workers usually conduct sample surveys during their research projects.
Author | : E.L. Lehmann |
Publisher | : Springer Science & Business Media |
Total Pages | : 640 |
Release | : 2006-04-18 |
Genre | : Mathematics |
ISBN | : 0387227296 |
Written by one of the main figures in twentieth century statistics, this book provides a unified treatment of first-order large-sample theory. It discusses a broad range of applications including introductions to density estimation, the bootstrap, and the asymptotics of survey methodology. The book is written at an elementary level making it accessible to most readers.
Author | : Philip J. McCarthy |
Publisher | : |
Total Pages | : 40 |
Release | : 1965 |
Genre | : Sampling (Statistics). |
ISBN | : |
Author | : William Edwards Deming |
Publisher | : |
Total Pages | : 630 |
Release | : 1950 |
Genre | : Sampling (Statistics). |
ISBN | : |
The planning of surveys; The various errors of a survey; Some elementary theory for design; Some variances in random sampling; Multistage sampling, Ratio-estimates, and choice of sampling unit; Allocation in stratified sampling; Distinntion between enumerative and analytic studies; Control of the risks in acceptance sampling; Some theory for analysis and estimation of precision; Estimation of the precision of a sample; Applications of some of the foregoing theory; Some further theory for design and analysis.