- Autor
- 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)
- Tytuł
- Small Area Estimation Under a Mixture Model
- Źródło
- Statistics in Transition, 2010, vol. 11, nr 3, s. 503-516, tab., rys., bibliogr. s. 516
- Słowa kluczowe
- Statystyka małych obszarów, Modele liniowe, Statystyka gospodarcza, Symulacja
Small area estimates, Linear models, Economic statistics, Simulation - Uwagi
- summ.
- Abstrakt
- 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)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu - Pełny tekst
- Pokaż
- Bibliografia
-
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- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
