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    CSDA
    2006
    107views more  CSDA 2006»
    Optimal confidence interval for the largest normal mean under heteroscedasticity
    13 years 10 months ago
    Optimal confidence interval for the largest normal mean under heteroscedasticity
    Download  www.acc.ncku.edu.tw
    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
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    CSDA
    2006
    142views more  CSDA 2006»
    Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
    13 years 10 months ago
    Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
    Download  www.economics.smu.edu.sg
    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
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    CSDA
    2006
    83views more  CSDA 2006»
    Linear grouping using orthogonal regression
    13 years 10 months ago
    Linear grouping using orthogonal regression
    Download  www.math.yorku.ca
    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...
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    CSDA
    2006
    304views more  CSDA 2006»
    Using principal components for estimating logistic regression with high-dimensional multicollinear data
    13 years 10 months ago
    Using principal components for estimating logistic regression with high-dimensional multicollinear data
    Download  hera.ugr.es
    The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
    Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
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    CSDA
    2006
    94views more  CSDA 2006»
    The nature of sensitivity in monotone missing not at random models
    13 years 10 months ago
    The nature of sensitivity in monotone missing not at random models
    Download  www.s3ri.soton.ac.uk
    Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
    Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
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