Small Area Estimation Using Estimated Population Level Auxiliary Data
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Small Area Estimation Using Estimated Population Level Auxiliary Data
Not Available |
|
Creator |
Hukum Chandra
U. C. Sud Yogita Gharde |
|
Subject |
Auxiliary data
Linear mixed model Small area Survey weights |
|
Description |
Not Available
Unit level linear mixed models are often used in small area estimation (SAE), and the empirical best linear unbiased prediction (EBLUP) is widely used for the estimation of small area means under such models. However, EBLUP requires population level auxiliary data, atleast area specific aggregated values. Sometimes population level auxiliary data is either not available or not consistent with the survey data. We describe a SAE method that uses estimated population auxiliary information. Empirical results show that proposed method for SAE produces an efficient set of small area estimates. Not Available |
|
Date |
2018-10-26T09:44:12Z
2018-10-26T09:44:12Z 2014-10-23 |
|
Type |
Research Paper
|
|
Identifier |
Not Available
0361-0918 print / 1532-4141 online http://www.tandfonline.com/loi/lssp20 http://krishi.icar.gov.in/jspui/handle/123456789/8253 |
|
Language |
English
|
|
Relation |
Not Available;
|
|
Publisher |
Taylor & Francis Group
|
|