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Measuring General Indecisiveness
Journal of Psychopathology and Behavioral Assessment, 2006Although indecisiveness seems to be a widespread problem, little empirical research has addressed its measurement. Frost and Shows (1993; Behaviour Research and Therapy, 31, 683–692) introduced the Indecisiveness Scale (IS) as a measure of individual differences in general indecisiveness.
Rassin, Eric +4 more
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Generalized Information Measures [PDF]
This paper suggests a general framework for several frequently used information statistics. The basis for the analysis is a set of regions each of which contains a number of cells. The objective is to evaluate the number of microstates associated with a distribution of distinguishable individuals amongst these cells.
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Fuzzy Sets and Systems, 1991
The authors have considered various types of measures, prevalent in literature, with various domains and ranges: \(\sigma\)-additive measures, probability measures of fuzzy events, decomposable measures, measures of fuzzy sets and possibility measures and have built up a unified theory.
Klement, Erich Peter, Weber, Siegfried
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The authors have considered various types of measures, prevalent in literature, with various domains and ranges: \(\sigma\)-additive measures, probability measures of fuzzy events, decomposable measures, measures of fuzzy sets and possibility measures and have built up a unified theory.
Klement, Erich Peter, Weber, Siegfried
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Surface Measures Generated by Differentiable Measures
Potential Analysis, 2015The authors summarize the contents of this paper in the abstract of the paper as follows: We study surface measures on level sets of functions on general probability spaces with measures differentiable along vector fields and suggest a new simple construction.
Bogachev, Vladimir I., Malofeev, Ilya I.
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GENERAL ENTROPY OF GENERAL MEASURES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002The concept of entropy is an important part of the theory of additive measures. In this paper, a definition of entropy is introduced for general (not necessarily additive) measures as the infinum of the Shannon entropies of "subordinate" additive measures. Several properties of the general entropy are discussed and proved.
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Generalized Random Spectral Measures
Journal of Theoretical Probability, 2012Let \((\Omega ,{\mathcal F},P)\) be a probability space, \(H\) a complex Hilbert space, and \((S,{\mathcal A})\) a measurable space. By a random spectral measure on \((S,{\mathcal A},H)\), the authors mean the parametrized family \(\{ U(\omega ):\omega \in\Omega \}\) of spectral measures on \((S,{\mathcal A},H)\) such that, for every \(x\in H\), \(M\in
Dang Hung Thang +2 more
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2009
Extracting information from a quantum system inevitably requires the performance of a measurement, and it is no surprise that the theory of measurement plays a central role in our subject. The physical nature of the measurement process remains one of the great philosophical problems in the formulation of quantum theory.
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Extracting information from a quantum system inevitably requires the performance of a measurement, and it is no surprise that the theory of measurement plays a central role in our subject. The physical nature of the measurement process remains one of the great philosophical problems in the formulation of quantum theory.
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Generalized measurement models
2004Abstract: "Given a set of random variables, it is often the case that their associations can be explained by hidden common causes. We present a set of well-defined assumptions and a provably correct algorithm that allow us to identify some of such hidden common causes.
Silva, Ricardo, Scheines, Richard
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