Title Statistinė struktūrų analizė: kai kurios jos taikymo problemos
Translation of Title Structure learning: some testing problems.
Authors Radavičius, Marijus ; Židanavičiūtė, Jurgita
DOI 10.15388/LMR.2005.27388
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Is Part of Lietuvos matematikos rinkinys. 2005, T. 45, spec, Nr, p. 354-362.. ISSN 0132-2818
Keywords [eng] Contingency tables ; Model, log-linear ; Data, categorical ; Bootstrap
Abstract [eng] The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just three categorical variables can be a rather complicated task due to large number of unknown parameters and cells in the contingency table. The classical chi-squre test and the bootstrap technique are compared for testing goodness-of-fit. The results demonstrate that the number of cells of even nonsparse contingency tables has significant impact on the tail distribution of the likelihood ratio statistics.
Type Journal article
Language Lithuanian
Publication date 2005
CC license CC license description