Residual entropy and its characterizations in terms of hazard function and mean residual life function
By Majid Asadi, N. Ebrahimi. 2000
78 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2e62241e15460924d91183534e5515d5107d7c92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- Jorge Navarro
- Madan Mohan Sati
- Nitin Gupta
- Y. Águila
- A. Di Crescenzo
- Félix Belzunce
- Guoxin Qiu
- S. Baratpour
In Statistics and Probability
- S. Baratpour
- Guoxin Qiu
- Jorge Navarro
- M. Longobardi
- Kai Jia
- Madan Mohan Sati
- Nitin Gupta
- A. Di Crescenzo
Citations in the corpus
- The residual extropy of order statistics (2018, background): “As pointed out by Asadi and Ebrahimi (2000), if X is regarded as the lifetime of a newunit, thenH(X) is no longer useful for measuring the uncertainty about remaining lifetime of the unit.”
- Some Characterization Results on Dynamic Cumulative Residual Tsallis Entropy (2015, methodology): “For the study of the properties and applications of CRE, we refer to Asadi and Ebrahimi [4], Asadi et al. [5], Rao [6], Drissi et al. [7], Gupta [8], Di Crescenzo and Longobardi [9], Navarro et al. [10], Gupta and Taneja [11], and Taneja and Kumar [12].”
- Some results on residual entropy function (2004, methodology): “We also extend some recent results given by Nair and Rajesh (1998) and Asadi and Ebrahimi (2000) to characterize a distribution function from relationships between the residual entropy and the mean residual life or the failure rate, respectively.”
- Some Characterizations Based on Entropy of Order Statistics and Record Values (2007, background): “Asadi and Ebrahimi (2000) characterized generalized Pareto distribution in terms of the residual entropy.”
- Entropy-based measure of uncertainty in past lifetime distributions (2002, result): “According to Ebrahimi [5], the residual entropy at time t of a random lifetime X is defined as the differential entropy of [X | X > t] (as usual, [X | B] denotes a random variable whose distribution is identical to that of X conditional Received 30 July 2001; revision received 14 March 2002.”
- Characterizations of Life Distributions Using Conditional Expectations of Doubly (Interval) Truncated Random Variables (2009, unknown): “It is well known that H t has much relevance in characterizing, ordering, and classifying life distributions according to the behavior of H t (see Asadi and Ebrahimi, 2000; Belzunce et al., 2004; Ebrahimi and Pellerey, 1995; Nair and Rajesh, 1998).”
- On Weighted Residual and Past Entropies (2006, background): “Various result on H(t) have been the object of recent researches (see [1], [4], [10], [11], [12]).”