Smaller Balanced Sampling Plans Excluding Adjacent Units for One Dimensional Population

dc.contributor.author	Kumar, Rajeev
dc.contributor.author	Parsad, Rajender
dc.contributor.author	Mandal, B. N.
dc.date.accessioned	2018-08-01T05:35:32Z
dc.date.available	2018-08-01T05:35:32Z
dc.date.issued	2016
dc.identifier.issn	2384-4795
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2028
dc.description.abstract	Balanced sampling plans excluding adjacent units are used for selecting samples from naturally ordered populations where nearer units provide similar measurements. In this article, we present several new balanced sampling plans excluding adjacent units for one dimensional populations with circular and linear ordering of units. The plans are obtained through a new algorithm based on linear integer programming.	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	Balanced sampling plans
dc.subject	Polygonal designs
dc.subject	Finite population sampling
dc.subject	Block designs
dc.subject	Algorithm
dc.subject	Integer programming
dc.title	Smaller Balanced Sampling Plans Excluding Adjacent Units for One Dimensional Population	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJCTS/030202
dc.volume	03
dc.issue	02
dc.source.title	International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle	IJCTS