Download or read book Estimation of Finite Population Variance Using Random Non Response in Survey Sampling written by Sarjinder Singh and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, an estimator of finite population variance proposed by Isaki (1983) is studied under the two different situations of random non-response suggested by Tracy and Osahan (1994). A distribution is proposed for the number of sampling units on which information could not be obtained due to random non-response. The estimators for the mean square errors of the proposed strategies are also suggested.
Download or read book Sampling and Estimation from Finite Populations written by Yves Tille and published by John Wiley & Sons. This book was released on 2020-03-30 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: A much-needed reference on survey sampling and its applications that presents the latest advances in the field Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions. Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of sampling Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks Reviews the problems of application of the theory into practice Also deals with the treatment of non sampling errors Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.
Download or read book Advanced Sampling Theory With Applications written by Sarjinder Singh and published by Springer Science & Business Media. This book was released on 2003 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.
Download or read book On Improvement in Estimating Population Parameter s Using Auxiliary Information written by Rajesh Singh and published by Infinite Study. This book was released on 2013 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation in Surveys with Nonresponse written by Carl-Erik Särndal and published by John Wiley & Sons. This book was released on 2005-08-05 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially harmful effects are to be minimised. Builds in the nonresponse feature of survey data collection as an integral part of the theory, both for point estimation and for variance estimation. Promotes weighting through calibration as a new and powerful technique for surveys with nonresponse. Highlights the analysis of nonresponse bias in estimates and methods to minimize this bias. Includes computational tools to help identify the best variables for calibration. Discusses the use of imputation as a complement to weighting by calibration. Contains guidelines for dealing with frame imperfections and coverage errors. Features worked examples throughout the text, using real data. The accessible style of Estimation in Surveys with Nonresponse will make this an invaluable tool for survey methodologists in national statistics agencies and private survey agencies. Researchers, teachers, and students of statistics, social sciences and economics will benefit from the clear presentation and numerous examples.
Download or read book Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non Response written by Manoj K. Chaudhary and published by Infinite Study. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we have adapted Singh and Shukla (1987) estimator in systematic sampling using auxiliary information in the presence of non-response. The properties of the suggested family have been discussed. Expressions for the bias and mean square error (MSE) of the suggested family have been derived. The comparative study of the optimum estimator of the family with ratio, product, dual to ratio and sample mean estimators in systematic sampling under non-response has also been done. One numerical illustration is carried out to verify the theoretical results.
Download or read book Survey Sampling written by Arijit Chaudhuri and published by CRC Press. This book was released on 1992-04-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias written by Devin Caughey and published by Cambridge University Press. This book was released on 2020-10-22 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification.
Download or read book Sampling Strategies for Finite Population Using Auxiliary Information written by Rajesh Singh, Florentin Smarandache and published by Infinite Study. This book was released on 2015-05-15 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book aims to present some improved estimators using auxiliary and attribute information in case of simple random sampling and stratified random sampling and in some cases when non-response is present. This volume is a collection of five papers, written by seven co-authors (listed in the order of the papers): Sachin Malik, Rajesh Singh, Florentin Smarandache, B. B. Khare, P. S. Jha, Usha Srivastava and Habib Ur. Rehman.
Download or read book Survey Sampling and Measurement written by N. Krishnan Namboodiri and published by Elsevier. This book was released on 2013-09-03 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survey Sampling and Measurement contains the invited papers presented at the Second Symposium on Survey Sampling held at Chapel Hill in April 1977. The volume is divided into seven parts. Part I makes a plea towards improving the quality of sample surveys via the creation of a computerized system of information on error estimates associated with the design and execution of surveys. It also suggests a realistic agenda for future work in survey sampling practice and theory. Part II contains papers dealing with specific methodological problems. Part III examines selected problems of analysis of survey data. The papers in Part IV deal with nonresponse, undercoverage, and related problems. Part V focuses on time series analysis. Part VI discusses applications of sample survey data and methods. Part VII addresses the gap between current survey practices and recent theoretical developments. It is hoped that this volume will be of interest to survey statisticians as well as to survey data users. If it stimulates thoughtful and courageous attack on some of the unresolved problems in survey sampling, its mission will have been amply fulfilled
Download or read book Non response Adjustment In Survey Sampling Using Auxiliary Information written by Monika Devi and published by LAP Lambert Academic Publishing. This book was released on 2015-09-02 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-response is a source of error in surveys that appears when part of the data to be collected are not observed. It has the potential to bias significantly the results of the survey and, consequently, to prevent valid inference.Non-response reduces the sample size, and therefore increases the variance of estimators, leading to larger margins of error.A more serious effect of non-response is that it can be selective. This occurs if, due to non-response, specific groups are under- or over-represented in the survey. To say it in other word: estimates are significantly too high or too low.There are statistical procedures to overcome non-response bias using auxiliary information.In this book, some estimators have been proposed for the estimation of population mean using auxiliary information under non-response. The relative efficiencies of proposed estimators are illustrated with two real populations.
Download or read book Advanced Sampling Theory with Applications written by S. Singh and published by Springer Science & Business Media. This book was released on 2013-01-07 with total page 1242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine, and Survey Sampling. These solved examples are very useful for an understanding of the applications of advanced sampling theory in our daily life and in diverse fields of science. An additional 173 unsolved practical problems are given at the end of the chapters. University and college professors may find these useful when assigning exercises to students. Each exercise gives exposure to several complete research papers for researchers/students.
Download or read book Survey Methodology written by and published by . This book was released on 2008 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonparametric Prediction in Survey Sampling and Its Application to the Nonresponse Problem written by Anthony N. Crisalli and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonparametric regression provides an important tool towards exploring the relationship between a dependent variable and the independent variable(s) without assuming a functional form between the variables. This thesis incorporates the nonparametric regression methodology in the context of estimation of a finite population mean and/or total. The resulting estimator is called the generalized smoothing (GSE) in contrast to the, model based generalized regression estimator (GRE), developed by Särndal (1972). The theory available for GRE is extended for the GSE. We replace model-based predictors by those based on nonparametric regression. The first objective is to investigate the merits of GSE over GRE in the simple random samples with respect to different criteria. It is shown that GSE is design-consistent and asymptotically design-unbiased. Furthermore, Monte Carlo simulations are carried out to, compare the GSE and the GRE with respect to several criteria, such as the Bias and the Mean Square Error (MSE). The second objective is to extend the above methodology in situations of non-response. In this case a probability response model for the respondents is assumed; the case of each sample unit not responding with equal probability is considered as a particular case. Monte Carlo simulations of the proposed procedures are presented so as to understand the behavior the GSE, and the probability response model. The linear regression model is ubiquitous in the sample survey literature, an assumption that is untenable in practice. In this dissertation we illustrate that it is feasible to estimate a finite population mean (also in the presence of nonresponse) with a nonparametric regression model. The simulations demonstrate in both the cases of full response and nonresponse, that if the underlying point scatter is linear then the GRE is the best choice. On the other hand if the point scatter is not linear, a situation often met in practice, the GSE seems to outperform the ORE, in terms of the benchmark criteria of MSE and bias.
Download or read book Incomplete Data in Sample Surveys Theory and bibliographies written by National Research Council (U.S.). Panel on Incomplete Data and published by . This book was released on 1983 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sampling Techniques written by William Gemmell Cochran and published by . This book was released on 1953 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
