Results 201 to 210 of about 121,440 (234)
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Frames Associated with Measurable Spaces
Advances in Computational Mathematics, 2003The paper deals with extensions of results for discrete frames to the setting of continuous frames. Characterizations of continuous frames are derived, as well as conditions for two continuous frames to be similar. Furthermore, a dilation-type result for continuous frames is proved: it states that a continuous frame is a projection of a ``Riesz-type ...
Jean-Pierre Gabardo, Deguang Han
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Journal of Intelligent & Fuzzy Systems, 2015
Abstract The paper studies the functions defined on [0,1] by axioms similar to the properties of the correlation coefficient. The methods of generation of such functions by means of strong negations, similarity measures and pseudo-difference operations associated to t-conorms are proposed. The considered non-statistical association measures can be used
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Abstract The paper studies the functions defined on [0,1] by axioms similar to the properties of the correlation coefficient. The methods of generation of such functions by means of strong negations, similarity measures and pseudo-difference operations associated to t-conorms are proposed. The considered non-statistical association measures can be used
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A Measure Associated with Axiom-A Attractors
American Journal of Mathematics, 1976The future orbits of a diffeomorphism near an Axiom-A attrac- tor are investigated. It is found that their asymptotic behavior is in general described by a fixed probability measure yt carried by the attractor. The measure It has an exponential cluster property, and satisfies a variational principle.
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2001
Pearson’s correlation coefficient, ρ, introduced in Chapter 6, is ubiquitous in applied research. It is employed even more than the least-squares estimate of the slope of a regression line and often is the lone tool used to detect and describe an association between two variables. As is evident from results covered in previous chapters, the estimate of
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Pearson’s correlation coefficient, ρ, introduced in Chapter 6, is ubiquitous in applied research. It is employed even more than the least-squares estimate of the slope of a regression line and often is the lone tool used to detect and describe an association between two variables. As is evident from results covered in previous chapters, the estimate of
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2006
AbstractThe investigation of an exposure-disease relationship usually begins by looking for an association between the exposure and the disease. This association is evaluated by generating some simple quantitative measure that describes the strength of their association as fairly and accurately as possible.
Ezra Susser +3 more
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AbstractThe investigation of an exposure-disease relationship usually begins by looking for an association between the exposure and the disease. This association is evaluated by generating some simple quantitative measure that describes the strength of their association as fairly and accurately as possible.
Ezra Susser +3 more
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2019
Abstract This chapter discusses the measures of contrast between two groups within the study population. Whereas in Chapter 1 the researcher might describe the total number of cases of a disease in a large population as a whole, in this chapter the researcher is interested in (for example) contrasting risk among those exposed to a drug ...
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Abstract This chapter discusses the measures of contrast between two groups within the study population. Whereas in Chapter 1 the researcher might describe the total number of cases of a disease in a large population as a whole, in this chapter the researcher is interested in (for example) contrasting risk among those exposed to a drug ...
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The Journal of the Association of Physicians of India, 2018
Warren S. Eller +2 more
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Warren S. Eller +2 more
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2005
This contribution provides an overview of the commonly used measures of association for categorical variables. The discussion of these measures is broken down by (1) the size of the contingency table, (2) the measurement scale of the variables involved, and (3) the interpretability of the measure.
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This contribution provides an overview of the commonly used measures of association for categorical variables. The discussion of these measures is broken down by (1) the size of the contingency table, (2) the measurement scale of the variables involved, and (3) the interpretability of the measure.
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