Background: As bremsstrahlung photon beam fluence is important parameter to be known in a photonuclear reaction experiment as the number of produced particle is strongly depends on photon fluence. Materials and Methods: Photon production yield from different thickness of aluminum target has been estimated using artificial neural network (ANN) model. Target thickness and incoming electr...

The objective of this study was to examine the properties of Bayes estimators of the parameter, reliability function and hazard rate under the symmetric and asymmetric loss functions for the inverted exponential model. The Bayes predictive interval and the Bayes estimate of shift point are also determined. A simulation study was carried out to study the properties of the Bayes estimators. Intro...

There are three broad classes of models used to address the econometric problems caused by skewness in data commonly encountered in health care applications: (1) transformation to deal with skewness (e.g., OLS on ln(y)); (2) alternative weighting approaches based on exponential conditional models (ECM) and generalized linear model (GLM) approaches; and (3) survival models (Cox proportional haza...

In modeling the rate of return associated with financial instruments, common probability distributions include the lognormal, gamma, and Weibull distributions. Furthermore, the method of maximum likelihood is widely used to estimate the unknown parameters of distributions due to the highly desirable properties of maximum likelihood estimators (MLEs). These properties include asymptotic unbiased...

We study the lightest Higgs boson decays $h\rightarrow MZ$ in $\mu$ from $\nu$ supersymmetric standard model ($\mu\nu$SSM), where $M$ is a vector meson $(\rho,\omega,\phi,J/\Psi,\Upsilon)$. Compared to minimal (MSSM), $\mu\nu$SSM introduces three right-handed neutrino superfields, which lead mixing of doublets with sneutrinos. The affects mass and couplings. In suitable parameter space, can giv...

Two methods based on the principle of maximum entropy (POME), the ordinary entropy method (ENT) and the parameter space expansion method (PSEM), are developed for estimating the parameters of a four-parameter exponential gamma distribution. Using six data sets for annual precipitation at the Weihe River basin in China, the PSEM was applied for estimating parameters for the four-parameter expone...

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

Abstract We investigate the prospect of detecting Dark Matter (DM) candidate in three-loop radiative neutrino mass generation model extended with large electroweak multiplets Standard Model (SM) gauge group, at future imaging atmospheric Cherenkov telescope known as Telescope Array (CTA). find that addition such leads to a sizable Sommerfeld enhanced annihilation DM O (TeV) mass, into SM bosons...

The choice of a probability distribution function and confidence interval estimated design values have long been interest in flood frequency analysis. Although the four-parameter exponential gamma (FPEG) has developed for application hydrology, its maximum likelihood estimation (MLE)-based parameter method asymptotic variance quantiles not well documented. In this study, MLE was used to estimat...

We obtain a type of Ay\'{o}n-Beato-Garc\'{\i}a (ABG) related black hole solutions with five parameters: the mass $m$, charge $q$, and three dimensionless parameters $\alpha$, $\beta$ $\gamma$ associated nonlinear electrodynamics. find that this holes is regular under conditions: $\alpha \gamma \geqslant 6$, $\beta 8$, $\gamma >0$. Here we focus on saturated case: $\alpha={6}/{\gamma}$ ={8}/{\ga...