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Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response

Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response PDF Author: Manoj K. Chaudhary
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 13

Book Description
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.

Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response

Use of Auxiliary Information for Estimating Population Mean in Systematic Sampling under Non- Response PDF Author: Manoj K. Chaudhary
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 13

Book Description
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.

On Improvement in Estimating Population Parameter(s) Using Auxiliary Information

On Improvement in Estimating Population Parameter(s) Using Auxiliary Information PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN: 1599732300
Category : Business & Economics
Languages : en
Pages : 66

Book Description


The Efficient Use of Supplementary Information in Finite Population Sampling

The Efficient Use of Supplementary Information in Finite Population Sampling PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN: 1599732750
Category :
Languages : en
Pages :

Book Description
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.

Advanced Sampling Theory With Applications

Advanced Sampling Theory With Applications PDF Author: Sarjinder Singh
Publisher: Springer Science & Business Media
ISBN: 9781402017070
Category : Mathematics
Languages : en
Pages : 640

Book Description
A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

Elements of Survey Sampling

Elements of Survey Sampling PDF Author: R. Singh
Publisher: Springer Science & Business Media
ISBN: 9401714045
Category : Mathematics
Languages : en
Pages : 390

Book Description
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.

Introduction to Small Area Estimation Techniques

Introduction to Small Area Estimation Techniques PDF Author: Asian Development Bank
Publisher: Asian Development Bank
ISBN: 9292622234
Category : Business & Economics
Languages : en
Pages : 152

Book Description
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.

The Oxford Handbook of Electoral Persuasion

The Oxford Handbook of Electoral Persuasion PDF Author: Elizabeth Suhay
Publisher: Oxford University Press
ISBN: 0190860839
Category : Political Science
Languages : en
Pages : 912

Book Description
Elections are the means by which democratic nations determine their leaders, and communication in the context of elections has the potential to shape people's beliefs, attitudes, and actions. Thus, electoral persuasion is one of the most important political processes in any nation that regularly holds elections. Moreover, electoral persuasion encompasses not only what happens in an election but also what happens before and after, involving candidates, parties, interest groups, the media, and the voters themselves. This volume surveys the vast political science literature on this subject, emphasizing contemporary research and topics and encouraging cross-fertilization among research strands. A global roster of authors provides a broad examination of electoral persuasion, with international perspectives complementing deep coverage of U.S. politics. Major areas of coverage include: general models of political persuasion; persuasion by parties, candidates, and outside groups; media influence; interpersonal influence; electoral persuasion across contexts; and empirical methodologies for understanding electoral persuasion.

Adaptive Survey Design

Adaptive Survey Design PDF Author: Barry Schouten
Publisher: CRC Press
ISBN: 1498767885
Category : Mathematics
Languages : en
Pages : 267

Book Description
Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deploy design features in order to control both nonresponse and measurement errors. ASD aims at the optimal matching of design features and the characteristics of respondents given the survey budget. Such a goal is sensible, but ASD requires investment in more advanced technical systems and management infrastructure and asks for the collection of relevant auxiliary data. So what are current best practices in ASD? And is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.

Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys PDF Author: Raymond L. Chambers
Publisher: CRC Press
ISBN: 1420011359
Category : Mathematics
Languages : en
Pages : 374

Book Description
Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to

Forest Inventory

Forest Inventory PDF Author: Annika Kangas
Publisher: Springer Science & Business Media
ISBN: 1402043813
Category : Technology & Engineering
Languages : en
Pages : 368

Book Description
This book has been developed as a forest inventory textbook for students and could also serve as a handbook for practical foresters. We have set out to keep the mathematics in the book at a fairly non-technical level, and therefore, although we deal with many issues that include highly sophisticated methodology, we try to present first and foremost the ideas behind them. For foresters who need more details, references are given to more advanced scientific papers and books in the fields of statistics and biometrics. Forest inventory books deal mostly with sampling and measurement issues, as found here in section I, but since forest inventories in many countries involve much more than this, we have also included material on forestry applications. Most applications nowadays involve remote sensing technology of some sort, so that section II deals mostly with the use of remote sensing material for this purpose. Section III deals with national inventories carried out in different parts of world, and section IV is an attempt to outline some future possibilities of forest inventory methodologies. The editors, Annika Kangas Professor of Forest Mensuration and Management, Department of Forest Resource Management, University of Helsinki. Matti Maltamo Professor of Forest Mensuration, Faculty of Forestry, University of Joensuu. ACKNOWLEDGEMENTS