Paper Info
Title
Modeling the coverage probability of a confidence interval on the among-group variance component in the unbalanced random one-way model
Abstract
Summary  The coverage probability of an approximate confidence interval on the among-group variance component, σ α 2 , in a one-way random model is modeled using generalized linear models techniques. The purpose of the proposed modeling is to derive an empirical relationship between the coverage probability on one hand, andk, n., ø, and the model’s variance components on the other hand, wherek is the number of groups, n. is the total number of observations, and ø is a measure of imbalance for the design used. The latter quantities serve as control variables in the derived model, and the coverage probability is treated as the response variable. Contour plots generated from this model can be easily used to depict the effects of the control variables on the coverage probability. In particular, the plots are utilized to compare four methods for constructing approximate confidence intervals on σ α 2 . Additional advantages of the derived model include prediction of the coverage probability for a given method using only specified values of the control variables, and the determination of operating conditions that result in improved coverage probability within the region of interest.
Year
DOI
Venue
2005
10.1007/BF02789704
Computational Statistics
Keywords
DocType
Volume
Contour plots, Generalized linear models, Logarithmic link function, Measure of imbalance, Response surface methodology, Unbalanced design
Journal
20
Issue
ISSN
Citations 
2
1613-9658
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
June-Young Lee101.01
André I. Khuri272.01
KeeWhan Kim300.34