Results 11 to 20 of about 1,086 (165)

Item analysis of the KIDSCREEN-10 using Rasch modelling

Health and Quality of Life Outcomes, 2020
Aim To test the psychometric properties of the KIDSCREEN-10. Background It is important to assess mental health and well-being in children for an early detection of psychological problems or hidden morbidities.
Marianne Müller, Andrea Haenni Hoti
doaj   +1 more source

Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models

Mathematics, 2023
Graphical log-linear models are effective for representing complex structures that emerge from high-dimensional data. It is challenging to fit an appropriate model in the high-dimensional setting and many existing methods rely on a convenient class of ...
Lyndsay Roach, Xin Gao
doaj   +1 more source

Estrategia para la selección de modelos gráficos en tablas de contingencia no estructuradas

Revista de Matemática: Teoría y Aplicaciones, 2009
Loglinear models are frequently utilized in the analysis of association patterns between variables in a multidimensional contingency table. Discrete graphical models are fashionable.
Adalberto González Debén, Karen Alfonso Sagué   +1 more
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Restricted graphical log-linear models

Austrian Journal of Statistics, 2015
We introduce a new type of graphical log-linear model called restricted graphical log-linear model. This model is obtained by imposing equality restrictions on subsets of main effects and of first-order interactions.
Ricardo Ramírez-Aldana, Guillermina Eslava-Gómez   +1 more
doaj   +1 more source

Exact Hypothesis Tests for Log-linear Models with exactLoglinTest

Journal of Statistical Software, 2006
This manuscript overviews exact testing of goodness of fit for log-linear models using the R package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal sufficient statistics to remove nuisance ...
Brian Caffo
doaj   +3 more sources

The Rasch Model as a Loglinear Model [PDF]

Applied Psychological Measurement, 1981
The Rasch model is formulated as a loglinear model. The goodness of fit and parameter estimates of the Rasch model can be obtained using the itera tive proportional fitting algorithm for loglinear models. It is shown in an example that the relation between the estimates of the iterative proportional fitting algorithm and the unconditional maximum ...
Mellenbergh, Gideon J., Vijn, Pieter
openaire   +2 more sources

Schweizer Unternehmen — Quo vaditis?

Raumforschung und Raumordnung, 2008
This paper explores the business demographics of the Swiss cantons of St. Gallen and the two Appenzells between the years of 1991 and 2006 using entries to the business registers of the these three cantons.
Balz R. Bodenmann, Kay W. Axhausen
doaj   +1 more source

Heatmaps for Patterns of Association in log-Linear Models

Socius, 2020
Log-linear models offer a detailed characterization of the association between categorical variables, but the breadth of their outputs is difficult to grasp because of the large number of parameters these models entail.
Mauricio Bucca
doaj   +1 more source

ANALISIS DE INTERVENSIÓN USANDO EL MODELO LOGLINEAL GENERAL CON FACTORES ANIDADOS

Ecosistemas y Recursos Agropecuarios, 2014
A procedure is defined for measurimg a reduction in accidents due to an intervention. Para obtener el articulo completo pueden contactar al Editor de la Revista Ecosistemas y Recursos Agropecuarios en el siguiente correo electrónico era@ujat.mx y se ...
Robert J. Flowers
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Ordinal Log-Linear Models for Contingency Tables

Folia Oeconomica Stetinensia, 2016
A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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