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CSDA
2006
107views more  CSDA 2006»
13 years 8 months ago
Optimal confidence interval for the largest normal mean under heteroscedasticity
A two-stage sampling procedure for obtaining an optimal confidence interval for the largest or smallest mean of k independent normal populations is proposed, where the population ...
Hubert J. Chen, Miin-Jye Wen
CSDA
2006
142views more  CSDA 2006»
13 years 8 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
CSDA
2006
83views more  CSDA 2006»
13 years 8 months ago
Linear grouping using orthogonal regression
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
CSDA
2006
100views more  CSDA 2006»
13 years 8 months ago
Identification of interaction patterns and classification with applications to microarray data
Emerging patterns represent a class of interaction structures which has been recently proposed as a tool in data mining. In this paper, a new and more general definition refering ...
Anne-Laure Boulesteix, Gerhard Tutz
DCG
2006
78views more  DCG 2006»
13 years 8 months ago
A Geometric Study of the Split Decomposition
This paper sheds a new light on the split decomposition theory and T-theory from the viewpoint of convex analysis and polyhedral geometry. By regarding finite metrics as discrete ...
Hiroshi Hirai