Motivation Loss-of-function genetic variants are frequently associated with severe clinical phenotypes, yet many are present in the genomes of healthy individuals. The available methods to assess the impact of these variants rely primarily upon evolutionary conservation with little to no consideration of the structural and functional implications for the protein. They further do not provide inf...

Maximum entropy likelihood (MEEL) methods also known as exponential tilted empirical likelihood methods using constraints from model Laplace transforms (LT) are introduced in this paper. An estimate of overall loss of efficiency based on Fourier cosine series expansion of the density function is proposed to quantify the loss of efficiency when using MEEL methods. Penalty function methods are su...

background outer hair cells' (ohcs') dysfunctions as the extent of temporary and permanent threshold shifts (tts and pts) and cochlear damage were assessed in rabbits exposed to continuous noise methods twelve new zealand white rabbits were studied in noise (n) (n=6; exposed to continuous noise; 95 db spl, 500-8000 hz for 8 h per day during 5 consecutive days) and control (c) (n=6; no...

Semi-continuous data comes from a distribution that is mixture of the point mass at zero and continuous with support on positive real line. Such appear in several real-life situations like blind signal separation problems, modeling loss finance insurance, sales consumer goods, daily precipitation data, to name few. In this paper, we present novel algorithm estimate density function for semi-con...

Shrinkage preliminary test estimation in exponential distribution under a precautionary loss function is considered. The minimum risk-unbiased estimator is derived and some shrinkage preliminary test estimators are proposed. We apply our results on censored data and records. The relative efficiencies of proposed estimators with respect to the minimum ‎risk-unbiased‎&...

the problem of estimating the parameter ?, when it is restricted to an interval of the form , in a class of discrete distributions, including binomial negative binomial discrete weibull and etc., is considered. we give necessary and sufficient conditions for which the bayes estimator of with respect to a two points boundary supported prior is minimax under squared log error loss function. for s...