<p>The limitations of medical personnel, especially heart disease, cause difficulties in diagnosing disorders, so disorders is not easy, it takes the ability and experience a cardiologist who has expertise to be able accurately diagnose disorders. Several studies field computing have been carried out cardiac abnormalities patients. This study was conducted test results classification usin...

Abstract: In this paper we have suggested a general procedure for estimating the population mean through defining a class of estimators. Many of the existing estimators are shown particular members of the proposed class of estimators. It has been shown to the first degree of approximation that mean squared error (MSE) of the proposed class of estimators are better than the competing ratio, regr...

Energy has become an integral part of our society and global economic development in the twenty-first century. Despite tremendous technological advancements, fossil fuels (coal, natural gas, oil) continue to be world’s primary source energy. Global energy scenarios indicate a change coal consumption trends future, which turn will have commercial, geopolitical, environmental consequences. We inv...

We consider estimating a random vector from its measurements in a fusion frame, in presence of noise and subspace erasures. A fusion frame is a collection of subspaces, for which the sum of the projection operators onto the subspaces is bounded below and above by constant multiples of the identity operator. We first consider the linear minimum mean-squared error (LMMSE) estimation of the random...

The choice of a smoothing parameter or bandwidth is crucial when applying nonparametric regression estimators. In nonparametric mean regression various methods for bandwidth selection exists. But in nonparametric quantile regression bandwidth choice is still an unsolved problem. In this paper a selection procedure for local varying bandwidths based on the asymptotic mean squared error (MSE) of ...

Some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are proposed. Under simple random sampling without replacement (SRSWOR) scheme, the expressions of bias and mean-squared error (MSE) up to the first order of approximation are derived. The results obtained have been...

We propose an efficiently structured nonlinear finitememory filter for denoising (filtering) a Gaussian signal contaminated by additive impulsive colored noise. The noise is modeled as a zero-mean Gaussian mixture (ZMGM) process. We first derive the optimal estimator for the static case, in which a Gaussian random variable (RV) is contaminated by an impulsive ZMGM RV. We provide an analytical d...