Results 211 to 220 of about 100,666 (263)
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Correspondence analysis of contingency tables
Computer Methods and Programs in Biomedicine, 1988This paper deals with the multidimensional representation of the dependence between row and column variables of contingency tables using the correspondence analysis. It includes: (1) estimation of the optimal weights that maximize the canonical correlation between two categorical variables by an optimization iterative method, (2) testing the ...
M A, Moussa, B A, Ouda
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The Analysis of Partially Categorized Contingency Data
Biometrics, 1974Summary: Sampling from multinomial populations in which classes are described according to two or more categories may, because of partial categorization of some of the observations, yield two or more related contingency tables. Estimation of parameters and tests of certain hypotheses for such partially categorized contingency data are considered and ...
Hocking, R. R., Oxspring, H. H.
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The Journal of Portfolio Management, 1997
The authors examine whether contingent claims analysis (CCA) completely explains the price relationships within a company’s capital structure. According to CCA, a company’s bond and stock values must invariably move in the same direction. Sometimes CCA suggests the presence of an anomaly or pricing discrepancy.
Martin S. Fridson, Jón G. Jónsson
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The authors examine whether contingent claims analysis (CCA) completely explains the price relationships within a company’s capital structure. According to CCA, a company’s bond and stock values must invariably move in the same direction. Sometimes CCA suggests the presence of an anomaly or pricing discrepancy.
Martin S. Fridson, Jón G. Jónsson
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Behavioral contingency analysis
Behavioural Processes, 2008This paper presents a formal symbolic language, with its own specialized vocabulary and grammar, for codifying any behavioral contingency, including the complex multiparty contingencies encountered in law, economics, business, public affairs, sociology, education, and psychotherapy.
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Multivariate Contingency Tables and the Analysis of Exchangeability
Biometrics, 1995There are settings in the social and health sciences where it is natural to question whether a collection of discrete random variables is exchangeable. In this paper the inter-relationships between parameter symmetry, parameter invariance, and exchangeable discrete random variables are investigated within the log-linear models framework. We demonstrate
Ten Have, Thomas R., Becker, Mark P.
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The Algebraic Analysis of Contingency Tables
Journal of the Royal Statistical Society, 1943Not ...
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An analysis of contingencies in the appalachian coalfields
Community Mental Health Journal, 1976The history of the Appalachian coalfields points to the inescapable conclusion that affluence and deprivation alternate according to the demand for coal in the national economy. Although this process has frequently been described, it has never been adequately or comprehensively conceptualized. If, however, the region is viewed in terms of contingencies
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Contingency Structures and Concept Analysis
2008Formal Concept Analysis has found many uses in knowledge representation and data mining, but its penetration into established data-based research disciplines has been slower. Marrying application motivations, structures, and methods from epidemiology and the mathematical formalisms of FCA, we define Generalized Contingency Structures and Tagged ...
Alex Pogel, David Ozonoff
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Analysis of Contingency Tables
1987A table showing the distribution of n units according to two or more criteria, each with a finite number of categories,is called a contingency table. If there are two criteria with I and J categories respectively, the contingency table can be presented in the form of a matrix $$\left[ {\matrix{{{{\rm{x}}_{11}} \ldots } \hfill & {{{\rm{x}}_{1{\rm{j}}
Erling B. Andersen +2 more
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Stochastic Contingency Analysis
IEEE Transactions on Power Apparatus and Systems, 1978A probabilistic formulation for the steady state contingency analysis is presented. The formulation takes into account load and generation data uncertainties and considers the occurrences of contingencies as random variables. Result s are obtained in a direct calculation and presented in a compact form in terms of expected values, standard deviations ...
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