Improved Variance Function in Cluster Sampling

dc.contributor.author	Shukla, A.K.
dc.contributor.author	Yadav, S.K
dc.contributor.author	Tiwari, V.
dc.date.accessioned	2018-08-01T05:34:33Z
dc.date.available	2018-08-01T05:34:33Z
dc.date.issued	2015
dc.identifier.issn	2384-4795
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2012
dc.description.abstract	In the present article, we suggest nonlinear regression models for variance function in cluster sampling. The estimates of parameters of suggested and existing models have been obtained. The suggested and existing models have been fitted to data sets given in Sukhatme et al (1984) and Zakkula Govindarajulu (1999). An improvement has been shown over existing models in the sense of best fitting, that is having lesser residual mean Square S2 for the relationship between variance within cluster and size of the cluster M.	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Non-linear regression
dc.subject	variance function
dc.subject	Efficiency
dc.title	Improved Variance Function in Cluster Sampling	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJCTS/020103
dc.volume	02
dc.issue	01
dc.source.title	International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle	IJCTS