Results 201 to 210 of about 45,940 (254)
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The Information in Contingency Tables.
Journal of the American Statistical Association, 1979The Information in Contingency Tables. By D. V. Gokhale and S. Kullback. New York and Basel, Marcel Dekker, 1978. Sw.Fr. 80.00. (Statistics: Textbooks and Monograph Series, Vol. 23.)
P. J. Brown, D. V. Gokhale, S. Kullback
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Random Structures and Algorithms, 1997
This article is devoted to the study of random sampling from a set of contingency tables. First, the authors show that the problem of determining the exact number of contingency tables is \#P-complete. They prove this result by establishing a relationship between their problem and the computation of the \((n-1)\)-dimensional volume of the polytope ...
Martin E. Dyer, Ravi Kannan, John Mount
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This article is devoted to the study of random sampling from a set of contingency tables. First, the authors show that the problem of determining the exact number of contingency tables is \#P-complete. They prove this result by establishing a relationship between their problem and the computation of the \((n-1)\)-dimensional volume of the polytope ...
Martin E. Dyer, Ravi Kannan, John Mount
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Contingency tables with given marginals
Biometrika, 1968SUMMARY In its simplest formulation the problem considered is to estimate the cell probabilities pij Of an r x c contingency table for which the marginal probabilities pi and p j are known and fixed, so as to minimize E2pij In (Pi/r1ij), where rij are the corresponding entries in a given contingency table.
Ireland, C. T., Kullback, S.
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Full Contingency Tables, Logits, and Split Contingency Tables
Biometrics, 1969Three methods of fitting log-linear models to multivariate contingency-table data with one dichotomous variable are discussed. Logit analysis is commonly used when a full contingency table of s dimensions is regarded as a table of rates of dimension s -1. The split-table method treats the same data as two separate tables each of dimension s -1. We show
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Interpreting a contingency table by rules
International Journal of Intelligent Systems, 1998Summary: Joint distributions of discrete random variables, for instance, in the form of contingency tables, are a well-known means for representing knowledge. Their mathematical exactness and easy computability seem to be ideal preconditions for use as a knowledge base.
Gabriele Kern-Isberner +1 more
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1996
Abstract Before we begin developing the formal theory, it seems appropriate to consider a few examples that illustrate some basic points.
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Abstract Before we begin developing the formal theory, it seems appropriate to consider a few examples that illustrate some basic points.
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Contingency matrix theory: Statistical dependence in a contingency table
Information Sciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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