Multiple linear regression with special properties of its coefficients parameterized by exponent, logit, and multinomial functions is considered. To obtain always positive coefficients the exponential parameterization is applied. To get coefficients in an assigned range, the logistic parameterization is used. Such coefficients permit us to evaluate the impact of individual predictors in the mod...

This paper studies the addition of linear constraints to Support Vector Regression when kernel is linear. Adding those into problem allows add prior knowledge on estimator obtained, such as finding positive vector, probability vector or monotone data. We prove that related optimization stays a semi-definite quadratic problem. also propose generalization Sequential Minimal Optimization algorithm...

In this paper, we study convex optimization methods for computing the nuclear (or, trace) norm regularized least squares estimate in multivariate linear regression. The so-called factor estimation and selection (FES) method, recently proposed by Yuan et al. [25], conducts parameter estimation and factor selection simultaneously and have been shown to enjoy nice properties in both large and fini...

Fixed effects regression methods are used to analyze longitudinal data with repeated measures on both independent and dependent variables. They have the attractive feature of controlling for all stable characteristics of the individuals, whether measured or not. This is accomplished by using only within-individual variation to estimate the regression coefficients. This paper surveys the wide va...

This paper studies a linear regression model, whose errors are functional coefficient autoregressive processes. Firstly, the quasi-maximum likelihood QML estimators of some unknown parameters are given. Secondly, under general conditions, the asymptotic properties existence, consistency, and asymptotic distributions of the QML estimators are investigated. These results extend those of Maller 20...

AIM The aim of this study was to determine the impact of CYP2C19 and ABCB1 gene polymorphisms and CYP3A4 isoenzyme activity on stent implantation complications among patients with an acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI). PATIENTS AND METHODS Seventy-six patients (median age 63, range 37-91 years) with an ACS who underwent PCI were screened for C...

A study was carried out to determine secular changes in all-cause mortality rates for children aged < 5 years in 1960-1989 and their association with measles and malnutrition mortality rates in the same age group in the same period in city of Gweru, Zimbabwe. The study utilized under-fives mortality data from births and deaths registration office and measles and malnutrition surveillance data o...

The computation of Moran’s index of spatial autocorrelation requires the definition of a spatial weighting matrix. The eigendecomposition of this doubly centered matrix (i.e., one that forces the sums of all rows and columns to equal zero) has interesting properties that have been exploited in various contexts: distribution properties of the Moran coefficient (MC), spatial filtering in linear m...