ICAR Research Data Repository for Knowledge Management
Small area estimation under spatial nonstationarity
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
Small area estimation under spatial nonstationarity
Not Available |
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| Creator |
Hukum Chandraa,∗, ,
Nicola Salvati b Ray Chambersc Nikos Tzavidis |
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| Subject |
Borrowing strength over space
Geographical weighted regression Out of sample small area estimation Spatial analysis |
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| Description |
Not Available
A geographical weighted empirical best linear unbiased predictor (GWEBLUP) for a small area average is proposed, and an estimator of its conditional mean squared error is developed. The popular empirical best linear unbiased predictor under the linear mixed model is obtained as a special case of the GWEBLUP. Empirical results using both modelbased and design-based simulations, with the latter based on two real data sets, show that the GWEBLUP predictor can lead to efficiency gains when spatial nonstationarity is present in the data. A practical gain from using the GWEBLUP is in small area estimation for out of sample areas. In this case the efficient use of geographical information can potentially improve upon conventional synthetic estimation Not Available |
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| Date |
2018-10-26T09:22:02Z
2018-10-26T09:22:02Z 2012-02-15 |
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| Type |
Research Paper
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| Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/8242 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
Elsevier B.V.
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