Results 321 to 330 of about 9,392,573 (389)
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On Theory Dependence of Truth in Measurement
Perspectives on Science, 2021Abstract Measurement results are stated in terms of sentences ascribing measured values, as obtained via measurement processes, to measurands, as defined by measuring agents. Since both the definition of the measurands and the characterization of the processes depend on models constructed on the basis of relevant theories, the issue ...
Alessandro Giordani, Luca Mari
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Quantile correlation coefficient: a new tail dependence measure
Statistical Papers, 2018A quantile correlation coefficient is newly defined as the geometric mean of two quantile regression slopes—that of X on Y and that of Y on X—in the same way that the Pearson correlation coefficient is related to regression coefficients.
Ji-Eun Choi, D. Shin
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The Behavioural Measurement of Dependence
British Journal of Addiction, 1980Two groups of 11 alcoholics, differentiated as to their degree of dependence, were observed drinking a specified amount of alcohol in an open‐ended situation. The severely dependent group drank the alcohol significantly faster than their less dependent counterparts.
H, Rankin, R, Hodgson, T, Stockwell
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The Measurement of Opiate Dependence
British Journal of Addiction, 1986SummaryThe application of a dimensional concept of dependence which has received much attention over recent years in relation to alcohol, is explored here in relation to opiate dependence. A Severity of Opiate Dependence Questionnaire (SODQ) was completed by 98 subjects attending a New York drug treatment clinic.
G, Sutherland +5 more
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A Measure of Interpersonal Dependency
Journal of Personality Assessment, 1977Interpersonal dependency refers to a complex of thoughts, beliefs, feelings, and behaviors revolving around needs to associate closely with valued other people. Its conceptual sources include the psychoanalytic theory of object relations, social learning theories of dependency, and the ethological theory of attachment.
R M, Hirschfeld +5 more
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Dependence Structure and Risk Measure*
The Journal of Business, 2003Understanding the relationships among multivariate assets would help one greatly about how best to position one’s investments and enhance one’s financial risk protection. We present a new method to model parametrically the dependence structure of stock index returns through a continuous distribution function, which links an n‐dimensional density to its
Kharoubi, Cécile, Ané, Thierry
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Measuring Natural Source Dependence
SSRN Electronic Journal, 2023AbstractThe consequences of most economic decisions are uncertain; they are conditional on events with unknown probabilities that decision makers evaluate based on their beliefs. In addition to consequences and beliefs, the context that generates events—the source of uncertainty—can also impact preferences, a pattern called source dependence.
Gutierrez, Cedric, Kemel, Emmanuel
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Journal of Multivariate Analysis, 2017
We propose three measures of mutual dependence between multiple random vectors. All the measures are zero if and only if the random vectors are mutually independent.
Ze Jin, David S. Matteson
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We propose three measures of mutual dependence between multiple random vectors. All the measures are zero if and only if the random vectors are mutually independent.
Ze Jin, David S. Matteson
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Operations Research, 1960
This paper defines dependability as the probability that a system will be able to operate when needed. There are many possible measures of dependability. Three of the most important are pointwise availability—the probability that the system will be operable at a specified instant of time reliability—the probability that the system will not fail during
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This paper defines dependability as the probability that a system will be able to operate when needed. There are many possible measures of dependability. Three of the most important are pointwise availability—the probability that the system will be operable at a specified instant of time reliability—the probability that the system will not fail during
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On a Measure of Stochastic Dependence
Theory of Probability & Its Applications, 1962An explicit expression is found for the amount of information (in the sense of A. N. Kolmogorov) about one $\sigma $-subalgebra contained in another $\sigma $-subalgebra of an abstract algebra with a probability measure. The formula obtained is generalized to a system of subalgebras of any cardinal number.
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