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Author : Leslie Kish
Publisher :
ISBN 13 :
Total Pages : 643 pages
Book Rating : 4.54/5 ( download)
Download or read book Survey sampling written by Leslie Kish and published by . This book was released on 1965 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Edward Blair
Publisher : SAGE Publications
ISBN 13 : 1483346919
Total Pages : 191 pages
Book Rating : 4.15/5 ( download)
Download or read book Applied Survey Sampling written by Edward Blair and published by SAGE Publications. This book was released on 2014-12-02 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training. It covers a wide range of topics, from the basics of sampling to special topics such as sampling rare populations, sampling organizational populations, and sampling visitors to a place. Using cases and examples to illustrate sampling principles and procedures, the book thoroughly covers the fundamentals of modern survey sampling, and addresses recent changes in the survey environment such as declining response rates, the rise of Internet surveys, the need to accommodate cell phones in telephone surveys, and emerging uses of social media and big data.
Author : Carl-Erik Särndal
Publisher : Springer Science & Business Media
ISBN 13 : 9780387406206
Total Pages : 716 pages
Book Rating : 4.04/5 ( download)
Download or read book Model Assisted Survey Sampling written by Carl-Erik Särndal and published by Springer Science & Business Media. This book was released on 2003-10-31 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : R. Singh
Publisher : Springer Science & Business Media
ISBN 13 : 9401714045
Total Pages : 390 pages
Book Rating : 4.44/5 ( download)
Download or read book Elements of Survey Sampling written by R. Singh and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Arijit Chaudhuri
Publisher : CRC Press
ISBN 13 : 149877475X
Total Pages : 241 pages
Book Rating : 4.58/5 ( download)
Download or read book Survey Sampling written by Arijit Chaudhuri and published by CRC Press. This book was released on 2018-09-28 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Graham Kalton
Publisher : SAGE
ISBN 13 : 9780803921269
Total Pages : 100 pages
Book Rating : 4.68/5 ( download)
Download or read book Introduction to Survey Sampling written by Graham Kalton and published by SAGE. This book was released on 1983-09 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. 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. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.
Author : Raghunath Arnab
Publisher : Academic Press
ISBN 13 : 0128118970
Total Pages : 930 pages
Book Rating : 4.79/5 ( download)
Download or read book Survey Sampling Theory and Applications written by Raghunath Arnab and published by Academic Press. This book was released on 2017-03-08 with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : PARIMAL MUKHOPADHYAY
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120336763
Total Pages : 578 pages
Book Rating : 4.66/5 ( download)
Download or read book THEORY AND METHODS OF SURVEY SAMPLING written by PARIMAL MUKHOPADHYAY and published by PHI Learning Pvt. Ltd.. This book was released on 2008-12-19 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive exposition of survey sampling useful both to the students of statistics for the course on sample survey and to the survey statisticians and practitioners involved in consultancy services, marketing, opinion polls, and so on. The text offers updated review of difficult classical techniques of survey sampling, besides covering prediction-theoretic approach of survey sampling and nonsampling errors. NEW TO THIS EDITION Two new chapters—Nonparametric Methods of Variance Estimation (Chapter 19) and Analysis of Complex Surveys (Chapter 20)—have been added. These would greatly benefit the readers. KEY FEATURES Covers concepts of unequal probability sampling. Provides problems of making inference from finite population using tools of classical inference. Describes nonsampling errors including Randomised Response Techniques. Gives over 70 worked-out examples and more than 120 problems and solutions. Supplies live data from India and Sweden—in examples and exercises. What the Reviewer says: This is a very comprehensive modern text on survey sampling with a strong slant towards theoretical results. The book is an excellent reference book and would be a good graduate level sampling text for a course with an emphasis on sampling theory. — JESSE C. ARNOLD, Virginia Polytechnic Institute and State University
Author : Changbao Wu
Publisher : Springer Nature
ISBN 13 : 3030442462
Total Pages : 371 pages
Book Rating : 4.60/5 ( download)
Download or read book Sampling Theory and Practice written by Changbao Wu and published by Springer Nature. This book was released on 2020-05-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Ray Chambers
Publisher : Oxford University Press
ISBN 13 : 019856662X
Total Pages : 280 pages
Book Rating : 4.25/5 ( download)
Download or read book An Introduction to Model-Based Survey Sampling with Applications written by Ray Chambers and published by Oxford University Press. This book was released on 2012-01-12 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.
