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Wednesday, April 29, 2020 | History

7 edition of Small Area Estimation found in the catalog.

Small Area Estimation

  • 342 Want to read
  • 14 Currently reading

Published by Wiley-Interscience .
Written in


The Physical Object
Number of Pages344
ID Numbers
Open LibraryOL7616873M
ISBN 100471413747
ISBN 109780471413745


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Small Area Estimation by J. N. K. Rao Download PDF EPUB FB2

Aug 14,  · 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, 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 einkpapers.icu by: Jan 09,  · (Short Book Reviews, ) "This book will help to advance the subject and be a valuable resource for practitioners and theorists.” (Statistics in Transition, November ) "This book is essential to any basic library on small estimation.

Small-Area Estimation. FINDING THE BOUNDARIES: WHEN DO DIRECT SURVEY ESTIMATES MEET SMALL-AREA NEEDS. This session focused on the topic of producing estimates in situations in which only a small amount of information is available or there are other limitations, such as physical, temporal, or conceptual boundaries that make direct estimation difficult.

"The book aims at introducing modern statistical small area estimation methodologies into the framework of spatial microsimulation modelling for a comprehensive presentation, providing Small Area Estimation book novel approach with much potential in comparative social research and regional statistics einkpapers.icu by: 4.

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.

Feb 25,  · 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.

Read chapter 5 Small-Area Estimation: National Patterns of R&D Resources is an annual report issued by the National Center for Science and Engineering Sta. Small area estimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the sub-population of interest is included in a larger survey.

The term "small area" in this context generally refers to a small geographical area such as a county. Feb 23,  · Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This Small Area Estimation book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty Author: Monica Pratesi.

Small Area Estimation. Motivation: Small area estimation is important in light of a continual demand by data users for finer geographic detail of published statistics and for various einkpapers.icuional demographic sample surveys designed for national estimates do not provide large enough samples to produce reliable direct estimates for small areas such as counties and even most states.

Dec 14,  · Purpose To familiarize participants with traditional and model-based methods for small area estimation and their application. Benefits to participant Participants will gain an understanding of the methods for small area estimation, a topic of practical and theoretical interest due to growing demands for reliable small area statistics.

The main strength of this book is the presentation of case studies and each chapter offers a reasonable number of exercises.

Overall, it is well written book, which make a pleasant reading, indeed and I recommend it survey statisticians and those readers interested in the field of. 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 desc. Get this from a library. Small area estimation. [J N K Rao] -- A much-needed guide to reliable small area statistics The term "small area" denotes any subpopulation for which direct estimates of adequate precision cannot be produced.

In recent years, the demand. Aug 24,  · Small Area Estimation by J. Rao,available at Book Depository with free delivery worldwide/5(3). the literature on small-area estimates is very large. a description of the material presented here may be found in: rao, j.

k., small area estimation, wiley, additional references include: sÄrndal, carl-erik, bengt swensson, and jan wretman, model assisted survey sampling, springer-verlag, In particular, if you don't have access to the Rao book (which appears to be the only logical choice for a reference book), one might check out the two review articles cited on wikipedia as well; Small area estimation: An appraisal (Ghosh & Rao, ).

This is available for free from project euclid. 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. Small area estimation (SAE).

Small area estimation (SAE) is an umbrella term to describe a number of approaches that provide “reliable small area statistics even when only very small samples are available for these areas.” (Pfeffermann ) The applications are often seen Many of these approaches are based upon Bayesian hierarchical models (see Gómez-Rubio et al.

as one example). Small Area Estimation J. Rao. 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 einkpapers.icu a basic area-level linear model to illustrate the methodsPresents the.

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. 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. The book edited by Pratesi () contains a collection of articles on small area estimation of poverty measures and provides a "comprehensive guide to implementing SAE methods for poverty studies Author: Monica Pratesi.

1 Small Area Estimation: Methods, Applications and New Developments J. Rao Carleton University, Ottawa, Canada Paper presented at the NTTS Conference, Brussels. 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.

tant developments in small area estimation methods. Rao [Small Area Estimation ()] wrote a very comprehensive book, which covers all the main developments in this topic until that time.

A few review pa-pers have been written afterbut they are limited in scope. Hence, the focus of this review is on new developments in the last 7–8. Models for Small Area Estimation. In small area estimation, a model is used to estimate the response in subpopulations with few or no sample observations.

As an example, the US Current Population Survey (CPS) provides accurate statistics about income and poverty for the nation as a whole. Small area estimation is important in survey analysis when domain (subpopulation) sample sizes are too small to provide adequate precision for direct domain estimators.

Popular techniques for small area estimation use implicit or explicit statistical models to indirectly estimate the small area parameters of interest. Indirect estimation Cited by: 2. Small Area Estimates Program (SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications.

SAEP estimates are generated for census areas and other areas of statewide significance. 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. Small area estimation is important in light of a continual demand by data users for finer geographic detail of published statistics and for various subpopulations. (chapter to appear in edited book on Longitudinal Surveys).

Janicki, R (). "Estimation of the difference of small area parameters from different time periods. Small area estimation (SAE) was first studied at Statistics Canada in the seventies. Small area estimates have been produced using administrative files or surveys enhanced with administrative.

Feb 01,  · A Comparative Analysis of Small Area Population Estimation Methods. Cartography and Geographic Information Science, Vol. 37, No. 4,pp. 12 Pages Posted: 1 Feb See all articles by Sarah Brinegar Sarah Brinegar. Government of the United States of America - Cited by: 8. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping.

This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains.

The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition for small-area estimation.

Nov 21,  · The method of generating small area estimation (SAE) of the measures is a multi-level statistical modeling framework.

Specifically, CDC will use an innovative peer-reviewed multi-level regression and poststratification (MRP) approach that links geocoded health surveys and high spatial resolution population demographic and socioeconomic data.

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.

Nov 26,  · Finally, FOD indicators can be chosen that relate directly to public expenditure priorities We apply the approach to census data from Mozambique for and and compare results with the poverty mapping methodology. We conclude that the Cited by: 5. The purpose of this paper is to review and discuss some of the new important developments in small area estimation methods.

Rao [Small Area Estimation ()] wrote a very comprehensive book, which covers all the main developments in this topic until that time. A few review papers have been written afterbut they are limited in scope. Finite population inference Small domain estimation Traditional Indirect Estimators Small Area Estimation Methods, Applications and Practical Demonstration Part 1: Traditional Methods J.N.K.

Rao School of Mathematics and Statistics, Carleton University Isabel Molina Department of Statistics, Universidad Carlos III de Madrid.A comprehensive account of model-based small area estimation under area-level and unit-level models is given by Rao ; see also Jiang and Lahiri, Datta, and Jiang for recent overviews.

In this paper, we study model-based estimators for sub-areas nested within einkpapers.icu by: 5.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 einkpapers.icu: John Wiley & Sons.