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Author
Chandra Hukum (Indian Agricultural Statistics Research Institute, India), Bathla H.V.L. (Indian Agricultural Statistics Research Institute, India), Sud U.C. (Indian Agricultural Statistics Research Institute, India)
Title
Small Area Estimation Under a Mixture Model
Source
Statistics in Transition, 2010, vol. 11, nr 3, s. 503-516, tab., rys., bibliogr. s. 516
Keyword
Statystyka małych obszarów, Modele liniowe, Statystyka gospodarcza, Symulacja
Small area estimates, Linear models, Economic statistics, Simulation
Note
summ.
Abstract
Small area estimation (SAE) under a linear mixed model may not be efficient if data contain substantial proportion of zeros than would be expected under standard model assumptions (hereafter zero-inflated data). We discuss the SAE for zero-inflated data under a mixture model (Fletcher et al., 2005 and Karlberg, 2000) that account for excess zeros in the data. Our results from simulation studies show that mixture model based approach for SAE works well and produces an efficient set of small area estimates. An application to real survey data from the National Sample Survey Organisation of India demonstrates the satisfactory performance of the approach. (original abstract)
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Bibliography
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ISSN
1234-7655
Language
eng
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