Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/236770 
Year of Publication: 
2020
Citation: 
[Journal:] Statistics in Transition New Series [ISSN:] 2450-0291 [Volume:] 21 [Issue:] 2 [Publisher:] Exeley [Place:] New York [Year:] 2020 [Pages:] 189-200
Publisher: 
Exeley, New York
Abstract: 
In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for the determination of optimum cluster size leads to explicit solution of models.
Subjects: 
Non-linear models
optimum cluster size
four-parameter model
variance function
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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