Model Assisted Survey Sampling
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Model Assisted Survey Sampling
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Author : Carl-Erik Särndal
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-10-31
Model Assisted Survey Sampling written by Carl-Erik Särndal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-31 with Mathematics categories.
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.
An Introduction To Model Based Survey Sampling With Applications
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Author : Ray Chambers
language : en
Publisher: OUP Oxford
Release Date : 2012-01-12
An Introduction To Model Based Survey Sampling With Applications written by Ray Chambers and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-12 with Mathematics categories.
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.
An Introduction To Model Based Survey Sampling With Applications
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Author :
language : en
Publisher:
Release Date : 2012
An Introduction To Model Based Survey Sampling With Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematical statistics categories.
Theory Of Sample Surveys
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Author : M. Thompson
language : en
Publisher: CRC Press
Release Date : 1997-08-01
Theory Of Sample Surveys written by M. Thompson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-01 with Mathematics categories.
Following the chronological development of sample surveys, this book provides an analysis of the mathematical and statistical theory of the subject. The text begins with the mathematics of randomized sampling designs as well as a general treatment of estimation of population totals through the Horvits-Thompson estimator and its variants. The book then examines approximations and limit theorems for the distribution of the estimators and design-based estimation of other population quantities. It concludes with chapters concerning inference from surveys. Theory of Sample Surveys will assist in a range of applications, including: auditing quality monitoring market research wildlife surveys mining exploration agriculture and business surveys population health studies This book acts as an exceptional resource for survey methodologists in government organizations as well as lecturers and graduate students in statistics and biostatistics.
Sampling Theory And Practice
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Author : Changbao Wu
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Sampling Theory And Practice written by Changbao Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Social Science categories.
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.
Survey Sampling
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Author : Arijit Chaudhuri
language : en
Publisher: CRC Press
Release Date : 2018-09-28
Survey Sampling written by Arijit Chaudhuri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-28 with Mathematics categories.
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.
Survey Sampling Theory And Applications
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Author : Raghunath Arnab
language : en
Publisher: Academic Press
Release Date : 2017-03-08
Survey Sampling Theory And Applications written by Raghunath Arnab and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-08 with Mathematics categories.
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
Modern Survey Sampling
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Author : Arijit Chaudhuri
language : en
Publisher: CRC Press
Release Date : 2014-06-23
Modern Survey Sampling written by Arijit Chaudhuri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-23 with Mathematics categories.
Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions. The text covers current research output in a student-friendly manner with attractive illustrations. It introduces sampling and discusses how to select a sample for which a selection-probability is specified to prescribe its performance characteristics. The author then explains how to examine samples with varying probabilities to derive profits. He then examines how to use partial segments to make reasonable guesses about a sample’s behavior and assess the elements of discrepancies. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.
Using A Model Aided Sampling Paradigm Instead Of A Traditional Sampling Paradigm In A Nationally Representative Establishment Survey
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Author : Marcus Berzofsky
language : en
Publisher: RTI Press
Release Date : 2008-02-01
Using A Model Aided Sampling Paradigm Instead Of A Traditional Sampling Paradigm In A Nationally Representative Establishment Survey written by Marcus Berzofsky and has been published by RTI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-01 with Computers categories.
We compare traditional survey inference, which is based on probability sample selection and weighting, with a model-based approach based on sampling quotas and model-based weighting. Compared with the traditional approach, the model-based approach more efficiently controls subgroup sample sizes when a large number of rare subgroups are studied. Using data from a national survey of US businesses, we simulated a model-based paradigm and compared estimates with those under the traditional paradigm. In this study, the findings suggest that the model-based approach offers advantages over the traditional sampling approach; however, a hybrid approach capturing the advantages of both paradigms proved best.
Sampling Statistics
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Author : Wayne A. Fuller
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Sampling Statistics written by Wayne A. Fuller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Mathematics categories.
Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. Sampling Statistics presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples. The book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model. The author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of "general use" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study. Sampling Statistics is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.