Results 31 to 40 of about 663,573 (193)
Transforming Contingency Tables
Abstract : We present a general theorem on transforming contingency tables and several applications where the transformation technique has allowed us to take advantage of the Iterative Proportional Fitting Procedure and has resulted in simple and useful procedures.
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CoCo is a program for estimation, test and model search among hierarchical interaction models for large complete contingency tables. The name CoCo is derivated of "Co"mplete "Co"ntingency tables, since the initial program could only handle complete ...
Jens Henrik Badsberg
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Tabular data have been a staple product for disseminating information derived from the confidential microdata that fuel social science research and inform policy decisions. This paper outlines recent results on disclosure risk assessment associated with
Aleksandra B. Slavkovic
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Sustainable energy development analysis: Energy Trilemma
Sustainable development is perceived as a socioeconomic system focused on meeting human needs while making long-term progress, with the end goal of ensuring well-being and improving quality of life.
Luisa Marti, Rosa Puertas
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Simultaneous Bayesian analysis of contingency tables in genetic association studies [PDF]
Genetic association studies lead to simultaneous categorical data analysis. The sample for every genetic locus consists of a contingency table containing the numbers of observed genotype-phenotype combinations.
Dickhaus, Thorsten
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Contingency tables for cohesion and independent condition.
Contingency tables for cohesion and independent condition.
Olaf Menssen (11714592) +4 more
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Symmetry of Square Contingency Tables Using Simplicial Geometry
Two-way contingency tables illustrate the relationship between two discrete variables. Their corresponding probability tables can be regarded as an element in a simplex.
Keita Nakamura +2 more
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Bayesian estimation of the orthogonal decomposition of a contingency table
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied
M.I. Ortego, J. J. Egozcue
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Bayesian test of independence and conditional independence of two ordinal variables [PDF]
For analysis of contingency tables with large sample size, classical approaches using approximate methods have high power. However, when the sample size is small or some cells have frequencies less than 5, classical approaches are so conservative.
Zahra Saberi, Mojtab Ganjali
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Markov Chain Monte Carlo Methods for Exact Tests in Contingency Tables [PDF]
This thesis is mainly concerned with conditional inference for contingency tables, where the MCMC method is used to take a sample of the conditional distribution.
KHEDRI, SHILER
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