Results 21 to 30 of about 213 (120)
On the Characterizations of Chen’s Two-Parameter Exponential Power Life-Testing Distribution
Characterizations of probability distributions play important roles in probability and statistics. Before a particular probability distribution model is applied to fit the real world data, it is essential to confirm whether the given probability ...
M. Shakil +2 more
doaj +1 more source
Bounds on the mean residual lifetime of progressive type II right censored order statistics
In this paper, we present some sharp upper bounds on the deviations of the mean residual lifetime of progressive type II right censored order statistics from the mean residual lifetime, m(t)=E(Xt)=E(X−t|X>t), for arbitrary t>0.
M. Z. Raqab
semanticscholar +2 more sources
of a New Class of Generalized Pearson Distribution by Truncated Moment
A probability distribution can be characterized through various methods. In this paper, by using truncated moment, we present some characterizations of a new class of generalized Pearson distribution introduced by Shakil and Singh [12].
M. Shakil, B. M. Kibria, J. Singh
semanticscholar +1 more source
Concomitants of record values arising from the Morgenstern type bivariate Lindley distribution
In this work, we developed the distribution theory of concomitants of record values arising from the Morgenstern type bivariate Lindley distribution and derived best linear unbiased estimator (BLUE) of parameter associated with the study variate involved
R. Maya, M. Irshad, D. Shibu
semanticscholar +1 more source
Analyzing symmetric distributions by utilizing extropy measures based on order statistics
Quantification of the uncertainty of distribution functions, by using entropy and extropy, is important in many statistical analyses. Inspired by this, our study uses extropy and several related measures (including the cumulative residual extropy ...
I.A. Husseiny +3 more
doaj +1 more source
Characterizing Log-Logistic (LL) Distributions through Methods of Percentiles and L-Moments
The main purpose of this paper is to characterize the log-logistic (LL) distributions through the methods of percentiles and L-moments and contrast with the method of (product) moments.
Mohan D. Pant
semanticscholar +1 more source
Return level bounds for discrete and continuous random variables
Discrete extremes, Empirical processes, Generalized Pareto distribution, Return level, 62G05, 62G20, 62G30,
P. Naveau +7 more
core +1 more source
Precedence tests and Lehmann alternatives [PDF]
Best precedence tests, nonparametric, power, proportional hazards alternatives, semi-parametric, Wilcoxon two-sample test, Primary 62G10, Secondary 62G25, 62G30,
Chakraborti, S +7 more
core +1 more source
Bias-reduced estimators of the Weibull tail-coefficient
Weibull tail-coefficient, Bias-reduction, Least-squares approach, Asymptotic normality, 62G05, 62G20, 62G30,
Gardes, Laurent +7 more
core +1 more source
Limit results for ordered uniform spacings
Uniform distribution, Order statistics, Spacings, Ordered spacings, Limit theorems, 60G70, 62G30,
Alexandre Berred +5 more
core +1 more source

