Designing Household Survey Samples
Author: United Nations. Statistical Division
Publisher:
Published: 2008
Total Pages:
ISBN-13: 9789210541732
DOWNLOAD EBOOKRead and Download eBook Full
Author: United Nations. Statistical Division
Publisher:
Published: 2008
Total Pages:
ISBN-13: 9789210541732
DOWNLOAD EBOOKAuthor: United Nations
Publisher: United Nations Publications
Published: 2008
Total Pages: 0
ISBN-13: 9789211614954
DOWNLOAD EBOOKThe objectives of this handbook are to provide basic concepts and methodologically sound procedures for designing samples, serve as a guide for survey practitioners, illustrate the interrelationship of sample design, data collection, estimation, processing and analysis and highlight the importance of controlling and reducing non-sampling errors in houehold sample surveys.
Author: Margaret E. Grosh
Publisher:
Published: 2000
Total Pages: 366
ISBN-13:
DOWNLOAD EBOOKComprehensive and informative document on the design, implementation, and use of household surveys in developing countries.
Author:
Publisher:
Published: 2014
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Dave Elliot
Publisher:
Published: 1998
Total Pages: 60
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher: Elsevier
Published: 2009-08-31
Total Pages: 723
ISBN-13: 0080932215
DOWNLOAD EBOOKThis new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 29A deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 29B is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. Comprehensive account of recent developments in sample survey theory and practice Discusses a wide variety of diverse applications Comprehensive bibliography
Author: Des Raj
Publisher: McGraw-Hill Companies
Published: 1972
Total Pages: 424
ISBN-13:
DOWNLOAD EBOOKAuthor: Edward Blair
Publisher: SAGE Publications
Published: 2014-12-02
Total Pages: 191
ISBN-13: 1483346919
DOWNLOAD EBOOKWritten for students and researchers who wish to understand the conceptual and practical aspects of sampling, this book is designed to be accessible without requiring advanced statistical training. It covers a wide range of topics, from the basics of sampling to special topics such as sampling rare populations, sampling organizational populations, and sampling visitors to a place. Using cases and examples to illustrate sampling principles and procedures, the book thoroughly covers the fundamentals of modern survey sampling, and addresses recent changes in the survey environment such as declining response rates, the rise of Internet surveys, the need to accommodate cell phones in telephone surveys, and emerging uses of social media and big data.
Author: Richard Valliant
Publisher: Springer
Published: 2018-10-12
Total Pages: 787
ISBN-13: 3319936328
DOWNLOAD EBOOKThe goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples. The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages. Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: • Details on new functions in the PracTools package • Additional machine learning methods to form weighting classes • New coverage of nonlinear optimization algorithms for sample allocation • Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors • A new chapter on nonprobability sampling • Additional examples, exercises, and updated references throughout Richard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal. She is founder of the International Program for Survey and Data Science and co-founder of the Coleridge Initiative.
Author: Graham Kalton
Publisher: SAGE
Published: 1983-09
Total Pages: 100
ISBN-13: 9780803921269
DOWNLOAD EBOOKReviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.