contingency tables
Asymmetry Index on Marginal Homogeneity for Square Contingency Tables with Ordered Categories
... square contingency tables with ordered categories, the present paper considers two kinds of weak marginal homo- geneity and gives measures to represent the degree of departure from weak marginal ...
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Learning for Contingency Tables and Survival Data using Imprecise Probabilities
... three-way contingency tables, a sequence of 2 × 2 tables, one at each time of observed death, ...2 tables was proposed by Mantel and Haenszel ...these contingency tables can be ...
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A default prior distribution for contingency tables with dependent factor levels
... In this paper, we consider the case where the levels of one or more of the factors may be dependent on one another. An obvious example is when one of the factors has levels corresponding to geograph- ical regions or ...
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Distributional equivalence and subcompositional coherence in the analysis of contingency tables, ratio-scale measurements and compositional data
... pairs of components within samples or to analyse the logarithms of the components relative to their geometric mean for the sample. However, although this “log-ratio biplot” has subcompositional coherence, it does not ...
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A significant minimization of Pearson’s X2 statistics in 2x2 contingency tables: preliminary results for small samples
... 6. Maxwell EA (1976) Analysis of contingency tables and further reasons for not using Yates correction in 2 × 2 tables. Canadian Journal of Statistics, 4, 277–290. DOI: 10.2307/3315141 7. Richardson ...
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Decomposition of Symmetry Model into Three Models for Cumulative Probabilities in Square Contingency Tables
... Abstract. For square contingency tables with ordered categories, we decompose the symmetry model into three models for cumulative probabilities. Three models are the cumulative two ratios-parameter ...
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conting : an R package for Bayesian analysis of complete and incomplete contingency tables
... Log-linear models are typically used to model the observed cell counts, where the log of the expected cell count is proportional to a linear combination involving unknown model parameters. Each interaction term between ...
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Estimation of confidence intervals for Multinomial proportions of sparse contingency tables using Bayesian methods
... of contingency tables so that methods can be compared for the performance of the ...J tables, MD has a consistent behavior in terms of coverage probability though the numerical value is below the ...
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Model selection in sparse contingency tables: LASSO penalties vs classical method
... sparse contingency tables with methods based on a regularisation approach involving the least absolute shrinkage and selection operator (LASSO) and the Smooth ...Keywords: Contingency tables; ...
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Negative Examples for Sequential Importance Sampling of. Binary Contingency Tables
... binary contingency tables problem, an important problem in statistics, where the goal is to estimate the number of 0/1 matrices with prescribed row and column ...of tables by an exponential ...
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Negative Examples for Sequential Importance Sampling of Binary Contingency Tables
... binary contingency tables problem studied in this paper can be reduced to counting perfect matchings via a reduction of Tutte ...binary contingency tables to solve the problem studied in this ...
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Measure of departure from marginal point-symmetry for two-way contingency tables
... When the point-symmetry model does not hold, we are interested in measuring the degree of departure from point-symmetry. Tomizawa et al. (2007) proposed a measure to represent the degree of departure from point-symmetry ...
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Lasso model selection in multi-dimensional contingency tables?
... Sparse contingency tables arise often in genetic, bioinformatic and database applications. Then the target is to estimate the dependence structure be- tween the variables modelled via the interaction terms ...
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A geometric test for the analysis of contingency tables
... used contingency tables as an important part of this validation process, counting up the numbers of correct and incorrect classifications of each ...
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Bayesian Analysis of Contingency Tables
... of contingency tables is used in different approaches to statistical inference, for example, to broach the test of homogeneity of independent multinomial ...
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An Extended Bivariate T Distribution Type Symmetry Model for Square Contingency Tables
... square contingency tables with ordered ...square contingency table if it is reasonable to assume an underlying bivariate t-distribution with different marginal variances having any degrees of ...
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Decompositions of Symmetry Using Generalized Linear Diagonals Parameter Symmetry Model and Orthogonality of Test Statistic for Square Contingency Tables
... square contingency tables with ordered categories, the present paper gives several theorems that the symmetry model holds if and only if the generalized linear diagonals-parameter symmetry model for cell ...
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Correlation and regression in contingency tables A measure of association or correlation in nominal data (contingency tables), using determinants
... A measure of association or correlation in nominal data contingency tables, using determinants Colignatus, Thomas Thomas Cool Consultancy Econometrics.. Online at https://mpra.ub.uni-mue[r] ...
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Correlation and regression in contingency tables A measure of association or correlation in nominal data (contingency tables), using determinants
... A measure of association or correlation in nominal data contingency tables, using determinants Colignatus, Thomas Thomas Cool Consultancy Econometrics.. Online at https://mpra.ub.uni-mue[r] ...
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A measure of association (correlation) in nominal data (contingency tables), using determinants
... A measure of association correlation in nominal data contingency tables, using determinants Colignatus, Thomas Thomas Cool Consultancy Econometrics.. Online at https://mpra.ub.uni-muench[r] ...
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