Results 251 to 260 of about 521,359 (300)
Some of the next articles are maybe not open access.

The Analysis of Partially Categorized Contingency Data

Biometrics, 1974
Summary: 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.
openaire   +3 more sources

An analysis of contingencies in the appalachian coalfields

Community Mental Health Journal, 1976
The 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
openaire   +2 more sources

The Algebraic Analysis of Contingency Tables

Journal of the Royal Statistical Society, 1943
Not ...
openaire   +1 more source

Contingency Structures and Concept Analysis

2008
Formal 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
openaire   +1 more source

Analysis of Contingency Tables

1987
A 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
openaire   +1 more source

Stochastic Contingency Analysis

IEEE Transactions on Power Apparatus and Systems, 1978
A 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 ...
openaire   +1 more source

An Analysis of Contingent Labor

Review of Radical Political Economics, 1991
This paper finds that the number contingent workers in the economy has grown dramatically in the last few decades, especially during the 1980s, and that they are paid lowerwages, given fewer benefits, and are disproportionately young, female and minorities in comparison with their full-time permanent counterparts. The danger of contingent labor is its
openaire   +1 more source

Multivariate Contingency Tables and the Analysis of Exchangeability

Biometrics, 1995
There 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.
openaire   +2 more sources

Analysis of triangular contingency tables

2002
Summary: This paper compares two methods involving the uniform association model and the quasi-independence model. These models can be described in terms of the association parameters for the analysis of triangular contingency tables having ordered categories. A simulation study based on 30.000 random triangular tables was performed for this comparison.
AKTAŞ, Serpil, SARAÇBAŞI, Tülay
openaire   +2 more sources

The Analysis of Contingency Tables

1995
Social and behavioral scientists routinely use statistical models to make inferences about the distribution of one or more dependent variables (which may be observed and/or unobserved), conditional on a set of independent variables. Often, this conditional distribution is assumed to be absolutely continuous, and in many instances, normal.
openaire   +1 more source

Home - About - Disclaimer - Privacy