Small Area Estimates From Sample Surveys
DOWNLOAD
Download Small Area Estimates From Sample Surveys PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Small Area Estimates From Sample Surveys book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Small Area Estimation In Survey Sampling
DOWNLOAD
Author : Parimal Mukhopadhyay
language : en
Publisher: Alpha Science International, Limited
Release Date : 1998
Small Area Estimation In Survey Sampling written by Parimal Mukhopadhyay and has been published by Alpha Science International, Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
This book gives a systematic exposition of the problems and procedures in producing statistics for small areas (districts, subdivisions, municipal areas; batches of industrial products) which have been lying scattered over different journals over the last three decades. The motivations of the different procedures have been explained, the promising results have been emphasized and the new research areas are indicated. The manner of exposition has been tried to be made lucid. The book will generate further interest in the area and would be helpful to the researchers and the survey statisticians working in this field.
Small Area Estimates From Sample Surveys
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1985
Small Area Estimates From Sample Surveys written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
A Monte Carlo study was carried out to evaluate the performance of some alternate Small Area Estimation techniques to obtain Labour Force estimates from large scale household surveys. The Canadian Labour Force survey, which utilizes a clustered multi-stage sample design, is taken as an example of a large scale household survey and the survey design is simulated using data from 1976 and 1981 censuses. The census divisions which cut across the boundaries of design strata are taken as small areas and 1,000 Monte Carlo samples are selected to obtain LF estimates. The alternate small area estimators which include post-stratified domain, synthetic, composite and SPREE are evaluated for their biases and mean square errors. Keyfitz's variance estimator for estimating the variance of ratio is considered for small area estimators using population adjustment at the small area level.
Small Area Estimation
DOWNLOAD
Author : J. N. K. Rao
language : en
Publisher: John Wiley & Sons
Release Date : 2015-08-24
Small Area Estimation written by J. N. K. Rao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-24 with Mathematics categories.
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.
Small Area Estimation
DOWNLOAD
Author : J. N. K. Rao
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-25
Small Area Estimation written by J. N. K. Rao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-25 with Mathematics categories.
An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE
Essentials Of Survey Sampling
DOWNLOAD
Author : Arijit Chaudhuri
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2010-01-30
Essentials Of Survey Sampling written by Arijit Chaudhuri and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-30 with Reference categories.
How the samples are allocated to strata or to clusters? Which is the best sampling method? How large a sample size should be? Will the sample provide the precision that we require? How the best results can be obtained at the lower cost? How to design and analyze different forms of sample surveys? The author focusses on using sampling techniques and ideas to solve real problems. This text includes different sampling methods and different sample allocation plans to create the powerful, cost effective survey sample design for your study. It covers a wide range of sampling methods simple random sampling, stratified sampling and cluster sampling. The book also describes the mathematics involved behind the confidence limits, ratio estimation, sample size and survey precision. Small area estimation, randomized response, network, adaptive sampling, control sampling and permanent random numbers are also discussed in addition to most of the classical topics.
Missing Data And Small Area Estimation
DOWNLOAD
Author : Nicholas T. Longford
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-11-24
Missing Data And Small Area Estimation written by Nicholas T. Longford and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-24 with Mathematics categories.
This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2000–2002). For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research. After a few years of involvement, I have come to realise that the separation of ‘academic’ and ‘industrial’ statistics is not well suited to either party, and their integration is the key to progress in both branches. Most of the work on this monograph was done while I was a visiting l- turer at Massey University, Palmerston North, New Zealand. The hospitality and stimulating academic environment of their Institute of Information S- ence and Technology is gratefully acknowledged. I could not name all those who commented on my lecture notes and on the presentations themselves; apart from them, I want to thank the organisers and silent attendees of all the events, and, with a modicum of reluctance, the ‘grey ?gures’ who kept inquiring whether I was any nearer the completion of whatever stage I had been foolish enough to attach a date.
Introduction To Small Area Estimation Techniques
DOWNLOAD
Author : Asian Development Bank
language : en
Publisher: Asian Development Bank
Release Date : 2020-05-01
Introduction To Small Area Estimation Techniques written by Asian Development Bank and has been published by Asian Development Bank this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-01 with Business & Economics categories.
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.
Small Area Estimation With Unmatched Sampling And Linking Models
DOWNLOAD
Author : Yong You
language : en
Publisher:
Release Date : 2000
Small Area Estimation With Unmatched Sampling And Linking Models written by Yong You and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Sampling (Statistics) categories.
In small area estimation, a sampling error model on transformed survey estimates (e.g., log-transformation) and a corresponding linking model on the transformed population means are often used. This leads to a linear mixed effects combined model on the transformed estimates, and standard results in empirical Bayes (EB) or hiererchical Bayes (HB) can be applied to get improved small area estimates. But the assumption of zero mean sampling errors may not be valid in small samples due to nonlinear transformation. To avoid this difficulty, we propose a sampling error model on the original survey estimates and then combine it with the linking model on the transformed population means using a complete HB approach. A numerical study is conducted to compare the posterior means and posterior variances under the complete HB approach with those obtained under the customary linear mixed model approach.
Estimation Methods For Small Area Statistics In Repeated Surveys
DOWNLOAD
Author : Bhim Singh
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-02-08
Estimation Methods For Small Area Statistics In Repeated Surveys written by Bhim Singh and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-08 with categories.
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.
Administrative Records For Survey Methodology
DOWNLOAD
Author : Asaph Young Chun
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-06
Administrative Records For Survey Methodology written by Asaph Young Chun and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Mathematics categories.
ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.