Sampling Theory Of Surveys
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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
Theory Of Sample Surveys
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Author : Arjun K. Gupta
language : en
Publisher: World Scientific
Release Date : 2011
Theory Of Sample Surveys written by Arjun K. Gupta and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Mathematics categories.
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.
Theory And Methods Of Survey Sampling
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Author : PARIMAL MUKHOPADHYAY
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2008-12-19
Theory And Methods Of Survey Sampling written by PARIMAL MUKHOPADHYAY and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-19 with Technology & Engineering categories.
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
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.
Sampling Theory Of Surveys With Applications
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Author : Pandurang Vasudeo Sukhatme
language : en
Publisher:
Release Date : 1954
Sampling Theory Of Surveys With Applications written by Pandurang Vasudeo Sukhatme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1954 with Agriculture categories.
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.
Elements Of Survey Sampling
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Author : R. Singh
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Elements Of Survey Sampling written by R. Singh 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 2013-03-09 with Mathematics categories.
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.
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.
Survey Sampling
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Author : Arijit Chaudhuri
language : en
Publisher: CRC Press
Release Date : 2005-03-29
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 2005-03-29 with Mathematics categories.
Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outst
Sampling Theory Of Surveys With Applications
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Author : Pandurang V. Sukhatme
language : en
Publisher:
Release Date : 1977
Sampling Theory Of Surveys With Applications written by Pandurang V. Sukhatme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with categories.
Sample Survey Theory
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Author : Paul Knottnerus
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-12
Sample Survey Theory written by Paul Knottnerus 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 2012-11-12 with Mathematics categories.
This volume deals primarily with the classical question of how to draw conclusions about the population mean of a variable, given a sample with observations on that variable. Another classical question is how to use prior knowledge of an economic or definitional relationship between the popu lation means of several variables, provided that the variables are observed in a sample. The present volume is a compilation of two discussion papers and some additional notes on these two basic questions. The discussion papers and notes were prepared for a 15-hour course at Statistics Nether lands in Voorburg in February 2000. The first discussion paper is entitled "A Memoir on Sampling and Rho, the Generalized Intrasample Correlation Coefficient" (1999). It describes a new approach to the problem of unequal probability sampling. The second discussion paper "The General Restric tion Estimator" (2000), deals with the problem of how to find constrained estimators that obey a given set of restrictions imposed on the parameters to be estimated. Parts I and II of the volume provide a novel and systematic treatment of sampling theory considered from the angle of the sampling autocorrelation coefficient p (rho). The same concept plays an important role in the analysis of time series. Although this concept is also well known in sampling theory, for instance in cluster sampling and systematic sampling, generalizations of p for an arbitrary sampling design are to my knowledge not readily found in the literature.