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Development Of Estimation Procedure Of Population Mean In Two Phase Stratified Sampling
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Book Synopsis Development of Estimation Procedure of Population Mean in Two-Phase Stratified Sampling by : Arnab Bandyopadhyay
Download or read book Development of Estimation Procedure of Population Mean in Two-Phase Stratified Sampling written by Arnab Bandyopadhyay and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article describes the problem of estimation of finite population mean in two-phase stratified random sampling. Using information on two auxiliary variables, a class of product to regression chain type estimators has been proposed and its characteristic is discussed. The unbiased version of the proposed class of estimators has been constructed and the optimality condition for the proposed class of estimators is derived. The efficacy of the proposed methodology has been justified through empirical investigations carried over the data set of natural population as well as the data set of artificially generated population. The survey statistician may be suggested to use it.
Book Synopsis Two Phase Sampling by : Zahoor Ahmad
Download or read book Two Phase Sampling written by Zahoor Ahmad and published by Cambridge Scholars Publishing. This book was released on 2014-09-26 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of estimators of population parameters based on two-phase sampling schemes has seen a dramatic increase in the past decade. Various authors have developed estimators of population using either one or two auxiliary variables. The present volume is a comprehensive collection of estimators available in single and two phase sampling. The book covers estimators which utilize information on single, two and multiple auxiliary variables of both quantitative and qualitative nature. The estimators discussed in the text are based upon different mechanisms of the availability of auxiliary information, termed here as Full, Partial and No Information. Multivariate estimators in survey sampling are also discussed in the book. Two Phase Sampling will prove an invaluable point of reference for researchers working in the field of survey sampling in general and in the field of two-phase sampling in particular.
Book Synopsis Two-Phase Sampling in Estimation of Population Mean in The Presence of Non-Response by : Manoj Kr. Chaudhary
Download or read book Two-Phase Sampling in Estimation of Population Mean in The Presence of Non-Response written by Manoj Kr. Chaudhary and published by Infinite Study. This book was released on with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present paper presents the detail discussion on estimation of population mean in simple random sampling in the presence of non-response. Motivated by Gupta and Shabbir (2008), we have suggested the class of estimators of population mean using an auxiliary variable under non-response. A theoretical study is carried out using two-phase sampling scheme when the population mean of auxiliary variable is not known. An empirical study has also been done in the support of theoretical results.
Book Synopsis The Efficient Use of Supplementary Information in Finite Population Sampling by : Rajesh Singh
Download or read book The Efficient Use of Supplementary Information in Finite Population Sampling written by Rajesh Singh and published by Infinite Study. This book was released on 2014 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of writing this book is to suggest some improved estimators using auxiliary information in sampling schemes like simple random sampling, systematic sampling and stratified random sampling. This volume is a collection of five papers, written by nine co-authors (listed in the order of the papers): Rajesh Singh, Mukesh Kumar, Manoj Kr. Chaudhary, Cem Kadilar, Prayas Sharma, Florentin Smarandache, Anil Prajapati, Hemant Verma, and Viplav Kr. Singh. In first paper dual to ratio-cum-product estimator is suggested and its properties are studied. In second paper an exponential ratio-product type estimator in stratified random sampling is proposed and its properties are studied under second order approximation. In third paper some estimators are proposed in two-phase sampling and their properties are studied in the presence of non-response. In fourth chapter a family of median based estimator is proposed in simple random sampling. In fifth paper some difference type estimators are suggested in simple random sampling and stratified random sampling and their properties are studied in presence of measurement error.
Book Synopsis Sampling Strategies for Finite Population Using Auxiliary Information by : Rajesh Singh, Florentin Smarandache
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.
Book Synopsis A Two Phase Sample Design for Estimating the Finite Population Mean by : Bahadur Singh
Download or read book A Two Phase Sample Design for Estimating the Finite Population Mean written by Bahadur Singh and published by . This book was released on 1976 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Methodologies by : Jan Peter Hessling
Download or read book Statistical Methodologies written by Jan Peter Hessling and published by BoD – Books on Demand. This book was released on 2020-02-26 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical practices have recently been questioned by numerous independent authors, to the extent that a significant fraction of accepted research findings can be questioned. This suggests that statistical methodologies may have gone too far into an engineering practice, with minimal concern for their foundation, interpretation, assumptions, and limitations, which may be jeopardized in the current context. Disguised by overwhelming data sets, advanced processing, and stunning presentations, the basic approach is often intractable to anyone but the analyst. The hierarchical nature of statistical inference, exemplified by Bayesian aggregation of prior and derived knowledge, may also be challenging. Conceptual simplified studies of the kind presented in this book could therefore provide valuable guidance when developing statistical methodologies, but also applying state of the art with greater confidence.
Book Synopsis Advances in Sampling Theory-Ratio Method of Estimation by : Hulya Cingi
Download or read book Advances in Sampling Theory-Ratio Method of Estimation written by Hulya Cingi and published by Bentham Science Publishers. This book was released on 2009-08-11 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ratio Method of Estimation - This is an ideal textbook for researchers interested in sampling methods, survey methodologists in government organizations, academicians, and graduate students in statistics, mathematics and biostatistics. This textbook makes"
Book Synopsis Sampling and Estimation from Finite Populations by : Yves Tille
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.
Book Synopsis Sampling Statistics by : Wayne A. Fuller
Download or read book Sampling Statistics written by Wayne A. Fuller and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response by : Manoj K. Chaudhary
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 Two-Phase Sampling written by Naqvi Hamad and published by LAP Lambert Academic Publishing. This book was released on 2011-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction has been given in Chapter 1. In Chapter 2, history of two-phase sampling and some well-known estimators along with their mean square errors and biases are given. Some regression cum ratio product estimators proposed by Hanif et al. (2009, 2010) and Hamad and Hanif (2011) in single and two-phase sampling using two auxiliary variables are discussed in chapter 3 and 4. The empirical study of those estimators is undertaken in Chapter 5.
Book Synopsis Estimation for Finite Population Parameters in Two Phase Sampling by : Giancarlo Diana
Download or read book Estimation for Finite Population Parameters in Two Phase Sampling written by Giancarlo Diana and published by . This book was released on 2002 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Sampling Theory with Applications by : Sarjinder Singh
Download or read book Advanced Sampling Theory with Applications written by Sarjinder Singh and published by Kluwer Academic Pub. This book was released on 2003 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advanced Sampling Theory with Applications: How Michael"selected" Amy" is a comprehensive expose of basic andadvanced sampling techniques along with their applications in thediverse fields of science and technology.This book is a multi-purpose document. It can be used as a text byteachers, as a reference manual by researchers, and as a practicalguide by statisticians. It covers 1165 references from differentresearch journals through almost 1900 citations across 1194 pages, alarge number of complete proofs of theorems, important results such ascorollaries, and 324 unsolved exercises from several research papers.It includes 159 solved, data-based, real life numerical examples indisciplines such as Agriculture, Demography, Social Science, AppliedEconomics, Engineering, Medicine, and Survey Sampling. These solvedexamples are very useful for an understanding of the applications ofadvanced sampling theory in our daily life and in diverse fields ofscience. An additional 173 unsolved practical problems are given atthe end of the chapters. University and college professors may findthese useful when assigning exercises to students. Each exercise givesexposure to several complete research papers for researchers/students.The data-based problems show statisticians how to select a sample andobtain estimates of parameters from a given population by usingdifferent sampling strategies, systematic sampling, stratifiedsampling, cluster sampling, and multi-stage sampling. Derivations ofcalibration weights from the design weights under single phase andtwo-phase sampling have been provided for simple numerical examples.These examples will be useful to understand the meaning of benchmarksto improve thedesign weights. These examples also explain thebackground of well-known scientific computer packages like CALMAR, GES, SAS, STATA, and SUDAAN etc., used to generate calibration weightsby most organizations in the public and private sectors. The ideas ofhot deck, cold deck, mean method of imputation, ratio method ofimputation, compromised imputation, and multiple imputations have beenexplained with very simple numerical examples. Simple examples arealso provided to understand Jackknife variance estimation under singlephase, two-phase [or random non-response by following Sitter (1997)]and multi-stage stratified designs.This book also covers, in a very simple and compact way, many newtopics not yet available in any book on the international market. Afew of these interesting topics are: median estimation under singlephase and two-phase sampling, difference between low level and higherlevel calibration approach, calibration weights and design weights, estimation of parametric functions, hidden gangs in finitepopulations, compromised imputation, variance estimation usingdistinct units, general class of estimators of population mean andvariance, wider class of estimators of population mean and variance, power transformation estimators, estimators based on the mean ofnon-sampled units of the auxiliary character, ratio and regressiontype estimators for estimating finite population variance similar toproposed by Isaki (1982), unbiased estimators of mean and varianceunder Midzuno's scheme of sampling, usual and modified jackknifevariance estimator, estimation of regression coefficient, concept ofrevised selection probabilities, multi-character surveys sampling, overlapping, adaptive, and postcluster sampling, new techniques insystematic sampling, successive sampling, small area estimation, continuous populations, and estimation of measurement errors.
Book Synopsis Advanced Sampling Methods by : Raosaheb Latpate
Download or read book Advanced Sampling Methods written by Raosaheb Latpate and published by Springer Nature. This book was released on 2021-05-07 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size is not cost-efficient, this book introduces a new method by using the domain knowledge of the negative correlation between the variable of interest and the auxiliary variable in order to control the size of a sample. In addition, the book focuses on adaptive cluster sampling, rank-set sampling and their applications in real life. Advance methods discussed in the book have tremendous applications in ecology, environmental science, health science, forestry, bio-sciences, and humanities. This book is targeted as a text for undergraduate and graduate students of statistics, as well as researchers in various disciplines.
Book Synopsis Statistical Methodologies by : Jan Peter Hessling
Download or read book Statistical Methodologies written by Jan Peter Hessling and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Studies in Sampling Techniques and Time Series Analysis by : Rajesh Singh, Florentin Smarandache
Download or read book Studies in Sampling Techniques and Time Series Analysis written by Rajesh Singh, Florentin Smarandache and published by Infinite Study. This book was released on 2011 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
