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http://krishi.icar.gov.in/jspui/handle/123456789/47299| Title: | Calibration Based Regression Type Estimator of the Population Total under Two Stage Sampling Design |
| Other Titles: | Not Available |
| Authors: | Kaustav Aditya UC Sud Hukum Chandra Ankur Biswas |
| 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 |
| Published/ Complete Date: | 2016-01-01 |
| Project Code: | Not Available |
| Keywords: | Auxiliary information Calibration approach Regression type estimator Primary stage unit Two stage sampling |
| Publisher: | Not Available |
| Citation: | Kaustav Aditya, U.C. Sud, Hukum Chandra and Ankur Biswas(2016). Calibration based regression type estimator of the population total under two stage sampling design, Journal of the Indian Society of Agricultural Statistics, 70(1) 2016 19-24. |
| Abstract/Description: | Regression type estimators of the population total were developed using the calibration approach under the assumption that the population level auxiliary information is available at primary stage unit level under two stage sampling design. The variance and the estimator of the variance of the proposed estimators were also developed. Theoretical results obtained are demonstrated through simulation studies. Empirical results show that the proposed estimators outperforms the usual regression estimators under two stage sampling design in terms of the criteria of relative bias and relative root mean square error |
| Description: | Not Available |
| Type(s) of content: | Research Paper |
| Language: | English |
| Name of Journal: | Journal of the Indian Society of Agricultural Statistics |
| NAAS Rating: | 5.51 5.51 |
| Volume No.: | 70(1) |
| Page Number: | 19-24 |
| Name of the Division/Regional Station: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/47299 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 3. Kaustav published paper.pdf | 165.64 kB | Adobe PDF | View/Open |
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