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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/42418
Title: | Variance Estimation Using Jackknife Method in Ranked Set Sampling under Finite Population Framework |
Other Titles: | Not Available |
Authors: | Ankur Biswas Tauqueer Ahmad Anil Rai |
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: | 2013-12-31 |
Project Code: | Not Available |
Keywords: | Variance estimation Ranked set sampling Jackknife method Strata based approach Cycle based approach |
Publisher: | Not Available |
Citation: | Biswas, A., Ahmad, T. and Rai, A. (2013). Variance Estimation Using Jackknife Method in Ranked Set Sampling under Finite Population Framework. Journal of the Indian Society of Agricultural Statistics, 67(3), 345-353. |
Series/Report no.: | Not Available; |
Abstract/Description: | When measuring an observation is expensive, but ranking a small subset of observations is relatively easy, ranked set sampling (RSS) can be used to increase the precision of the estimators. Estimating the variance in case of RSS has been found to be cumbersome in the context of finite population. Therefore, in this paper, we propose two different variance estimation procedures using Jackknife method in RSS under finite population framework. We compare the efficiency of these proposed variance estimation procedures with each other through a simulation study. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Indian Society of Agricultural Statistics |
NAAS Rating: | 5.51 |
Volume No.: | 67(3) |
Page Number: | 345-353 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://isas.org.in/ |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/42418 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Ankur Biswas et al 2013 JISAS 67(3).pdf | 214.15 kB | Adobe PDF | View/Open |
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