Results 131 to 140 of about 1,123 (168)

Lognormal Loglinear Model (Basics)

2016
In the lognormal loglinear model the distribution of some random vector is specified by assuming that its logarithm, i.e. the random vector consisting of the logarithms of the coordinates of the given random vector, has a normal distribution and fulfills the conditions of a linear model.
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Loglinear models

2014
Nussbeck, Fridtjof W., Michalos, Alex C.
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Loglinear Models

1997
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Loglinear Models

1989
Thomas J. Santner, Diane E. Duffy
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Modelling discrete data: Interactive loglinear models

1998
The general form of loglinear regression models with binary output is described. Only hierarchical models are considered. For such models a process of interactive model fitting and its implementation in the software TURNER are described. Problems of visualization and empty cells are discussed.
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Loglineare Modelle

1992
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SPI-based drought category prediction using loglinear models

Journal of Hydrology, 2008
João T. Mexia, Elsa E Moreira
exaly  

Latent Regression in Loglinear Rasch Models

Communications in Statistics - Theory and Methods, 2004
Jakob Bue Bjorner, Karl Bang Christensen
exaly  

Analysis of Local Dependence and Multidimensionality in Graphical Loglinear Rasch Models

Communications in Statistics - Theory and Methods, 2004
Svend Kreiner, Karl Bang Christensen
exaly  

Using covariates in loglinear models with sampling zeros; A cautionary note

Computational Statistics and Data Analysis, 1998
Peter G.M. van der Heijden, Wim Jansen
exaly