Download or read book Efficient Estimation for Small Domains written by Noel J. Purcell and published by . This book was released on 1968 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Estimation for Small Domains written by Noel John Purcell and published by . This book was released on 1979 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Small Area Estimation Techniques written by Asian Development Bank and published by Asian Development Bank. This book was released on 2020-05-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Efficient Small domain Estimation by Combining Information from Multiple Surveys Through Regression written by Takis Merkouris and published by . This book was released on 2006 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: In some surveys of finite populations, subpopulations for which the sample size is too small for estimation of adequate precision are referred to as small domains. In this paper, we explore the possibility of enhancing the precision of domain estimators by combining comparable information collected in multiple surveys of the same population. To this end, we propose a regression method of estimation that is essentially an extended calibration procedure whereby comparable domain estimates from the various surveys are calibrated to each other. We show through some analytic results that this method may greatly improve the precision of domain estimators for the variables that are common to these surveys, as these estimators make effective use of increased sample size for the common survey items. The proposed approach is also highly effective in handling the closely related problem of estimation for rare population characteristics.
Download or read book Advances In Statistics Combinatorics And Related Areas Selected Papers From The Scra2001 fim Viii Procs Of The Wollongong Conference written by Chandra Gulati and published by World Scientific. This book was released on 2002-12-19 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected refereed papers presented at the International Conference on Statistics, Combinatorics and Related Areas, and the Eighth International Conference of the Forum for Interdisciplinary Mathematics. It includes contributions from eminent statisticians such as Joe Gani, Clive Granger, Chris Heyde, R Nishii, C R Rao, P K Sen and Sue Wilson. By exploring and investigating deeper, these papers enlarge the reservoir in the represented areas of research, such as bioinformatics, estimating functions, financial statistics, generalized linear models, goodness of fit, image analysis, industrial data analysis, multivariate statistics, neural networks, quasi-likelihood, sample surveys, statistical inference, stochastic models, and time series.
Download or read book Developing Small Domain Statistics written by Arijit Chaudhuri and published by LAP Lambert Academic Publishing. This book was released on 2012-06 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: When a sample is taken from a population additionally for a certain of its components called domains also estimates are needed for certain parameters. When domain-wise samples are too small these estimates turn out poor in efficiency. By borrowing strength from other domains how data may be appropriately used is an important issue. How to settle this using domain as well as past data is a story related in this monograph. For this appropriate model-assisted analysis is described in details. Historical developments are narrated and live data-base emperical findings are presented in great details. Mainly the author's own research in collaboration with his students and colleagues is stressed. Contemporary research by others is also touched to the extent possible in this short output. Further a point of interest is to start with classical estimation methods based on unequal probability sampling and to follow up with appropriate modelling. This has been diligently implemented as is not usually emphasised in the current literature on Small Area Estimation.
Download or read book Small Area Estimation Methods Under Cut Off Sampling written by Maria Guadarrama and published by . This book was released on 2019 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cut-off sampling is applied when there is a subset of units from the population from which getting the required information is too expensive or difficult and, therefore, those units are deliberately excluded from sample selection. If those excluded units are different from the sampled ones in the characteristics of interest, naïve estimators obtained by ignoring the cut-off sampling may be severely biased. Calibration estimators have been proposed to reduce the mentioned design-bias. However, the resulting estimators may have large variance when estimating in small domains. Similarly as calibration, model-based small area estimation methods using auxiliary information might decrease this bias if the assumed model holds for the whole population. At the same time, these methods provide more efficient estimators than calibration methods for small domains. We analyze the properties of calibration and model-based procedures for estimation of small domain characteristics under cut-off sampling. Our results confirm that the model-based estimators reduce the bias due to cut-off sampling and perform significantly better in terms of mean squared error.
Download or read book Methods of Estimation of Crop Acreage and Production for Small Domains written by Gopi Chand Tikkiwal and published by LAP Lambert Academic Publishing. This book was released on 2014-10-22 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Small area estimation methods are used in survey sampling when traditional methods of estimation do not provide efficient estimates of the parameters of small domains either due to insufficient sample size or zero sample size. This monograph provides indirect methods of estimation of small domains' parameters related to agriculture field. The monograph will be useful for people working in the field of small area estimation in general and those working in the area of crop acreage and production estimates worldwide in particular.
Download or read book Proceedings written by and published by . This book was released on 1996 with total page 1196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Small area Population Estimates methods and Their Accuracy and New Metropolitan Area Definitions and Their Impact on the Private and Public Sector written by and published by . This book was released on 1981 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Leslie Kish written by Graham Kalton and published by John Wiley & Sons. This book was released on 2003-04-11 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leslie Kish formulated, among other things, the "margin of error," an assessment of the accuracy of opinion polls. He was elected president of the American Statistical Association; and was a fellow of the American Academy of Arts and Sciences; the American Association for the Advancement of Science; and the Royal Statistical Society of England. A co-founder of the Institute for Social Research at the University of Michigan and of the International Association of Survey Statisticians, Kish was at once a remarkable teacher, thinker, and leader in the field of survey statistics. This volume collects, for the first time, Kish's most important papers.
Download or read book Small Area Estimation and Microsimulation Modeling written by Azizur Rahman and published by CRC Press. This book was released on 2016-11-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling. Dr Azizur Rahman is a Senior Lecturer in Statistics and convenor of the Graduate Program in Applied Statistics at the Charles Sturt University, and an Adjunct Associate Professor of Public Health and Biostatistics at the University of Canberra. His research encompasses small area estimation, applied economics, microsimulation modeling, Bayesian inference and public health. He has more than 60 scholarly publications including two books. Dr. Rahman’s research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM). Professor Ann Harding, AO is an Emeritus Professor of Applied Economics and Social Policy at the National Centre for Social and Economic Modelling (NATSEM) of the University of Canberra. She was the founder and inaugural Director of this world class Research Centre for more than sixteen years, and also a co-founder of the International Microsimulation Association (IMA) and served as the inaugural elected president of IMA from 2004 to 2011. She is a fellow of the Academy of the Social Sciences in Australia. She has more than 300 publications including several books in microsimulation modeling.
Download or read book Small area Statistics Papers written by and published by . This book was released on 1975 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Estimation Methods for Small Area Statistics in Repeated Surveys written by Bhim Singh and published by LAP Lambert Academic Publishing. This book was released on 2012-02-08 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The requirements for small area statistics have been in great demand by public as well as private sectors because the governments are interested in obtaining statistics for smaller domains such as States, Provinces, Districts, Tehsils, Blocks and Village Panchayat etc or different racial and ethnic subgroups for implementing their policies at local. These domains are called small area-the term "SMALL" refers to the fact that the sample size in the area or domain from the survey is small. The Small Area Statistics (SAS) method like synthetic etc. may be used to utilise such data for obtaining small area estimates of change in the parameters or an overall estimates over a period of time or most efficient small area estimates on current occasion. In this book, we have presented estimations methodologies for small areas statistics in repeated surveys. Also an empirical study is carried out to show the properties of the proposed estimators.
Download or read book Second Annual Research Conference March 23 26 1986 Sheraton International Conference Center 11810 Sunrise Valley Drive Reston Virginia written by and published by . This book was released on 1986 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Small Area Estimation written by J. N. K. Rao and published by John Wiley & Sons. This book was released on 2015-08-24 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic...I believe that it has the potential to turn small area estimation...into a larger area of importance to both researchers and practitioners." —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.
Download or read book Practical Methods for Design and Analysis of Complex Surveys written by Risto Lehtonen and published by John Wiley & Sons. This book was released on 2004-03-05 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis it is also important to be aware of the different aspects of the design of complex surveys. Practical Methods for Design and Analysis of Complex Surveys features intermediate and advanced statistical techniques for use in designing and analysing complex surveys. This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors and enabling use for distance learning. * Provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data. * Includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation. * Contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains. * Features detailed real-li fe case studies, such as multilevel modeling in a multinational educational survey. * Supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials. Practical Methods for Design and Analysis of Complex Surveys provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.
