Results 31 to 40 of about 9,392,573 (389)
Searching With Measurement Dependent Noise [PDF]
IEEE Transactions on Information Theory, 2014 Consider a target moving at a constant velocity on a unit-circumference circle, starting at an arbitrary location. To acquire the target, any region of the circle can be probed to obtain a noisy measurement of the target's presence, where the noise level increases with the size of the probed region.
Yonatan Kaspi +2 more
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Dependence Modeling, 2023 Working with shuffles, we establish a close link between Kendall’s τ\tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences.
Sánchez Juan Fernández +1 more
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A Note on the Maximum Difference Between Schweizer and Wolff's $\sigma$ and the Absolute Value of Spearman's $\rho$ [PDF]
Transactions on Fuzzy Sets and Systems, 2022 In this note we correct an error on the possible maximum difference between the (measure of dependence) Schweizer and Wolff's sigma and the absolute value of the (measure of concordance) Spearman's rho given in [B. Schweizer and E. F.
Manuel Ubeda-Flores
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Measurement of tanning dependence [PDF]
Journal of the European Academy of Dermatology and Venereology, 2013 AbstractBackgroundIndoor tanning has been found to be addictive. However, the most commonly used tanning dependence measures have not been well validated.ObjectiveThe study's purpose was to explore the psychometric characteristics of and compare the modified Cut‐down, Annoyed, Guilty, Eye‐opener Scale (mCAGE), modified Diagnostic and Statistical Manual
Heckman, C. J. +7 more
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Plug-in Estimation of Dependence Characteristics of Archimedean Copula via Bézier Curve
Revstat Statistical Journal, 2023 This article introduces measurement of the dependence between variables with a dependence structure defined by Archimedean copulas. The estimation of the dependence measure, such as Kendall’s tau as well as the lower and upper tail dependence, is ...
Selim Orhun Susam +1 more
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Mutual Information and Dynamic Measure of Inaccuracy between Past Lifetime Distributions [PDF]
The Egyptian Statistical Journal, 2010 The mutual information is a measure of the dependence of two random variables. We propose an extension of this notion to measure the dependence between the inactivity lifetimes of two systems, given that both systems have failure at time t.
Mervat Mahdy Ramadan Mahdy
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A Class of Association Measures for Categorical Variables Based on Weighted Minkowski Distance
Entropy, 2019 Measuring and testing association between categorical variables is one of the long-standing problems in multivariate statistics. In this paper, I define a broad class of association measures for categorical variables based on weighted Minkowski distance.
Qingyang Zhang
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Copula Correlation: An Equitable Dependence Measure and Extension of Pearson's Correlation [PDF]
, 2013 In Science, Reshef et al. (2011) proposed the concept of equitability for measures of dependence between two random variables. To this end, they proposed a novel measure, the maximal information coefficient (MIC). Recently a PNAS paper (Kinney and Atwal,
A. Ding, Yi Li
semanticscholar +1 more source
Hidden Markov Models as a Tool for the Assessment of Dependence of Phenomena of Economic Nature
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 The assessment of dependence between time series is a common dilemma, which is often solved by the use of the Pearson’s correlation coefficient. Unfortunately, sometimes, the results may be highly misleading.
Michał Bernardelli
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Measurable Sensitivity for Semi-Flows
Mathematics, 2023 Sensitive dependence on initial conditions is a crucial characteristic of chaos. The concept of measurable sensitivity (MS) was introduced as a measure-theoretic version of sensitive dependence on initial conditions.
Weizhen Quan +5 more
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