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http://krishi.icar.gov.in/jspui/handle/123456789/8350| Title: | Small area estimation of proportions under a spatial dependent aggregated level random effects model |
| Other Titles: | Not Available |
| Authors: | Hukum Chandra Nicola Salvati |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute University of Pisa, Pisa, Italy |
| Published/ Complete Date: | 2017-09-21 |
| Project Code: | Not Available |
| Keywords: | Direct estimator Diagnostics Indebtedness Model-based estimation Mapping |
| Publisher: | Taylor & Francis Group, LLC |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | This paper describes small area estimation (SAE) of proportions under a spatial dependent generalized linear mixed model using aggregated level data. The SAE is also applied to produce reliable district level estimates and mapping of incidence of indebtedness in the State of Uttar Pradesh in India using debt and investment survey data collected by National Sample Survey Office (NSSO) and the secondary data from the Census. The results show a significant improvement in precision of model-based estimates generated by SAE as compared to direct estimates. The estimates generated by incorporating spatial information are more efficient than the one generated by ignoring this information. |
| Description: | Not Available |
| ISSN: | 0361-0926 (Print) 1532-415X (Online) |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Communications in Statistics - Theory and Methods |
| NAAS Rating: | 6.61 |
| Volume No.: | 47, No. 5 |
| Page Number: | 1234-1255 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | DOI: 10.1080/03610926.2017.1317806 |
| URI: | https://doi.org/10.1080/03610926.2017.1317806 http://krishi.icar.gov.in/jspui/handle/123456789/8350 |
| Appears in Collections: | AEdu-IASRI-Publication |
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