The Use Of Synthetic Estimation Techniques To Produce Small Area Estimates
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The Use Of Synthetic Estimation Techniques To Produce Small Area Estimates
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Author : Chris Skinner
language : en
Publisher:
Release Date : 1993
The Use Of Synthetic Estimation Techniques To Produce Small Area Estimates written by Chris Skinner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Introduction To Small Area Estimation Techniques
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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
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Author : National Center for Health Statistics (U.S.)
language : en
Publisher:
Release Date : 1979
Small Area Estimation written by National Center for Health Statistics (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Medical categories.
Small Area Estimation
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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
Small Area Estimation In Survey Sampling
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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.
Synthetic Estimates For Small Areas
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Author :
language : en
Publisher:
Release Date : 1979
Synthetic Estimates For Small Areas written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Drug abuse categories.
Small Area Estimation And Microsimulation Modeling
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Author : Azizur Rahman
language : en
Publisher: CRC Press
Release Date : 2016-11-30
Small Area Estimation And Microsimulation Modeling written by Azizur Rahman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
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.
Small Area Estimation And Microsimulation Modeling
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Author : Azizur Rahman
language : en
Publisher: CRC Press
Release Date : 2016-11-30
Small Area Estimation And Microsimulation Modeling written by Azizur Rahman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
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.
Synthetic Estimators Using Auxiliary Information In Small Domains
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Author : Piyush Kant Rai
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2014-02
Synthetic Estimators Using Auxiliary Information In Small Domains written by Piyush Kant Rai 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 2014-02 with categories.
An unbiased estimate is obtained from a sample survey for a large area; when this estimate is used to derive estimates for sub areas on the assumption that the small areas have the same characteristics as larger area, we identify these estimates as synthetic estimators." One of the simplest estimators arises from the assumption that the small area mean is equal to the larger area mean. This leads to the simple synthetic estimator under simple random sampling or stratified random sampling or post stratified sampling as the case may be. Synthetic estimation may also be based on auxiliary data. Such estimators are, for example, ratio-synthetic, product -synthetic and regression - synthetic estimators.
Sample Size Dependent Estimators For Small Areas
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Author : K. P. Srinath
language : en
Publisher:
Release Date : 1985
Sample Size Dependent Estimators For Small Areas written by K. P. Srinath and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Commercial statistics categories.
There are several estimation procedures available for producing small area data. These procedures include domain estimation, post-stratified estimation and synthetic estimation. Recently, methods incorporating a linear combination of synthetic estimates or model based estimates and poststratified estimates have been proposed by Fay and Herriot (1979), Sarndal (1984) and Battese and Fuller (1984); these methods are based on regression procedures and some require the estimation of variances at the small area level. In this paper, some simple estimators which are a weighted combination of the post-stratified estimator and the synthetic or model based estimator are proposed. The weights are simple functions of either the actual and the expected sample sizes or the actual sample total of the auxiliary variable and its expected value in the small areas of interest. The properties of these estimators are investigated through a Monte Carlo simulation based on business tax data.