37 citations · 88 across the 27 of their papers we have counts for
10 papers · 1 filter
An upper bound and a characterization for Gini's mean difference based on correlated random variables
Roberto Vila, Narayanaswamy Balakrishnan, Helton Saulo
In this paper, we obtain an upper bound for the Gini mean difference based on mean, variance and correlation for the case when the variables are correlated. We also derive some clo…
The restricted minimum density power divergence estimator for non-destructive one-shot device testing the under step-stress model with exponential lifetimes
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo
One-shot devices data represent an extreme case of interval censoring.Some kind of one-shot units do not get destroyed when tested, and so, survival units can continue within the t…
Simultaneous best linear invariant prediction of future order statistics for location-scale and scale families and associated optimality properties
Narayanaswamy Balakrishnan, Ritwik Bhattacharya
In this article, we first derive an explicit expression for the marginal best linear invariant predictor (BLIP) of an unobserved future order statistic based on a set of early obse…
An Identity for Expectations and Characteristic Function of Matrix Variate Skew-normalDistribution with Applications to Associated Stochastic Orderings
Tong Pu, Narayanaswamy Balakrishnan, Chuancun Yin
We establish an identity for E f (Y) -E f (X), when X and Y both have matrix variateskew-normal distributions and the function f fulfills some weak conditions. Thecharacteristic fu…
On cumulative entropies in terms of moments of order statistics
Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi
In this paper relations among some kinds of cumulative entropies and moments of order statistics are presented. By using some characterizations and the symmetry of a non negative a…
On Weighted Extropies
Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi
The extropy is a measure of information introduced by Lad et al. (2015) as dual to entropy. As the entropy, it is a shift-independent information measure. We introduce here the not…