Results 161 to 170 of about 7,912 (188)

Lognormal Loglinear Model (Loss Reserving)

2016
The lognormal loglinear model can, in particular, be applied in loss reserving. In this article we first discuss the particularities arising in this application and we then study a special lognormal loglinear model in loss reserving.
Stefan Kaulfuß, Klaus D. Schmidt, Katrin Thänert   +2 more
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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 Cognitive Diagnostic Model (LCDM)

2019
The Log-Linear Cognitive Diagnosis Model (LCDM; Henson RA, Templin J, Willse J, Psychometrika 74:191–210, 2009) provides a general approach to diagnostic modeling that is deeply tied to log-linear models. As a result, the parameterization and concepts of the LCDM can be directly tied to the concepts of a general linear model for use of a multiple way ...
Robert Henson, Jonathan L. Templin
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Recognizing Submodels of a Loglinear Model

1992
Submodels of a loglinear probabilistic model are characterized by means of a graph theoretic property suitable for an efficient computation.
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Linkage analysis using loglinear models

Computational Statistics & Data Analysis, 1992
Abstract Analysis of linkage between a set of genes or genetic markers is used to study their relative positions on the chromosomes. An exposition of linkage analysis is given in terms of loglinear models. It is shown that under a simplifying assumption (that of no interference) the independence graphs of the appropriate loglinear models consist of ...
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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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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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Loglineare Modelle

1992
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