Small Area Shrinkage Estimation
نویسندگان
چکیده
منابع مشابه
Some New Developments in Small Area Estimation
Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
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Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...
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Selected Paper prepared for presentation at the Agricultural & Applied Economics Association’s Annual Meeting,Seattle, Washington, August 12-14, 2012. Copyright 2012 by Sebastain N. Awondo,Gauri S. Datta,Octavio A. Ramirez, and Esendugue G. Fonsah. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice...
متن کاملIntroduction to Small Area Estimation
In this vignette we will describe an example on how to produce Small Area Estimates using different types of techniques. Different direct and model based estimators will be briefly described and their computation using the Rsoftware will be illustrated with a simulated data set. Small Area Estimation tackles the problem of providing reliable estimates of one or several variables of interest in ...
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Shrinkage estimation usually reduces variance at the cost of bias. But when we care only about some parameters of a model, I show that we can reduce variance without incurring bias if we have additional information about the distribution of covariates. In a linear regression model with homoscedastic Normal noise, I consider shrinkage estimation of the nuisance parameters associated with control...
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ژورنال
عنوان ژورنال: Statistical Science
سال: 2012
ISSN: 0883-4237
DOI: 10.1214/11-sts374