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http://krishi.icar.gov.in/jspui/handle/123456789/36104
Title: | Rescaling Bootstrap Technique for Variance Estimation for Ranked Set Samples in Finite Population |
Other Titles: | Not Available |
Authors: | Ankur Biswas Anil Rai Tauqueer Ahmad |
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: | 2018-11-10 |
Project Code: | Not Available |
Keywords: | Ranked set sampling Rescaling bootstrap Strata based rescaling bootstrap Cluster based rescaling bootstrap |
Publisher: | Taylor and Francis Online |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Ranked Set Sampling (RSS) is preferred to Simple Random Sampling (SRS) when measuring an observation is expensive or time-consuming, while ranking small subset of observations is relatively easy. Estimating the variance of RSS estimator has been found cumbersome under finite population. In this study, we propose two rescaling bootstrap variance estimation techniques in RSS under finite population framework viz. Strata Based Rescaling Bootstrap (SBRB) and Cluster Based Rescaling Bootstrap (CBRB) methods. Simulation as well as real data application results suggest that SBRB method performs better than CBRB method for different combination of set size (m) and number of cycles (r). |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Communications in Statistics - Simulation and Computation |
NAAS Rating: | 6.65 |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Division of Agricultural Statistics-IASRI |
Source, DOI or any other URL: | 10.1080/03610918.2018.1527349 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/36104 |
Appears in Collections: | AEdu-IASRI-Publication |
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