Results 11 to 20 of about 663,517 (102)
General weighted extropy of minimum and maximum ranked set sampling with unequal samples [PDF]
In industrial, environmental, and ecological investigations, ranked set sampling is a sample method that enables the experimenter to use the whole range of population values.
Chaudhary, Santosh Kumar, Gupta, Nitin
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Exploring weighted Tsallis extropy: Insights and applications to human health
This article presents the notion of the continuous case of the weighted Tsallis extropy function as an information measure that follows the framework of continuous distribution.
Ramy Abdelhamid Aldallal +2 more
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Estimation of Weighted Extropy Under the α-Mixing Dependence Condition
Introduced as a complementary concept to Shannon entropy, extropy provides an alternative perspective for measuring uncertainty. While useful in areas such as reliability theory and scoring rules, extropy in its original form treats all outcomes equally,
Radhakumari Maya +3 more
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In this paper, we study the marginal distribution of concomitants of k-record (KR) values from generalized Farlie–Gumbel–Morgenstern (GFGM) of bivariate distributions. In addition, the joint distribution of concomitants of KR for this family is obtained.
M. Nagy, Adel Fahad Alrasheedi
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Extropy has recently become a focal point of study as a measure of uncertainty in probability distributions and serves as the dual complement to entropy.
Amal S. Hassan +3 more
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On general weighted extropy of ranked set sampling [PDF]
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Nitin Gupta, Santosh Kumar Chaudhary
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Interval extropy and weighted interval extropy [PDF]
Recently, Extropy was introduced by Lad, Sanfilippo and Agr as a complement dual of Shannon Entropy. In this paper, we propose dynamic versions of Extropy for doubly truncated random variables as measures of uncertainty called Interval Extropy and Weighted Interval Extropy.
Francesco Buono +2 more
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Failure Extropy, Dynamic Failure Extropy and Their Weighted Versions [PDF]
Abstract Extropy was introduced as a dual complement of the Shannon entropy. In this investigation, we consider failure extropy and its dynamic version. Various basic properties of these measures are presented. It is shown that the dynamic failure extropy characterizes the distribution function uniquely.
Suchandan Kayal
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This study uses an effective, recently extended Farlie–Gumbel–Morgenstern (EFGM) family to derive the distribution of concomitants of K-record upper values (CKRV).
Mohamed A. Abd Elgawad +6 more
doaj +2 more sources
Relationships between cumulative entropy/extropy, Gini mean difference and probability weighted moments [PDF]
AbstractIn this work, we establish a connection between the cumulative residual entropy and the Gini mean difference (GMD). Some relationships between the extropy and the GMD, and the truncated GMD and dynamic versions of the cumulative past extropy are also established.
Sudheesh K. Kattumannil +2 more
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