Megazol is a highly active compound against Trypanosoma cruzi, and has become a core structure for the design of new trypanocidal agent. Recently, a new potent trypanocide agent Brazilizone A (a derivatives of megazol), was identified which presents an IC50 two fold more potent than the prototype megazol. This result has encouraged us to perform QSAR study on structurally-related 1,3,4-thiadiaz...

quality evaluation is one of the effective activities in trade, economy and the health of communities. for this purpose, non-destructive methods are increasingly used, as they are faster and more economical in comparison with destructive ones. this study investigated the feasibility of predicting firmness by laser light backscattering imaging system, as a new non-destructive method for one cult...

This paper considers nonstandard hypothesis testing problems that involve a nuisance parameter. We establish an upper bound on the weighted average power of all valid tests, and develop a numerical algorithm that determines a feasible test with power close to the bound. The approach is illustrated in six applications: inference about a linear regression coefficient when the sign of a control co...

We consider the generic regularized optimization problem β̂(λ) = arg minβ L(y,Xβ) + λJ (β). Efron, Hastie, Johnstone and Tibshirani [Ann. Statist. 32 (2004) 407–499] have shown that for the LASSO—that is, if L is squared error loss and J (β)= ‖β‖1 is the 1 norm of β—the optimal coefficient path is piecewise linear, that is, ∂β̂(λ)/∂λ is piecewise constant. We derive a general characterization of ...

This paper presents a simple regression test of parametric and semiparametric index models against more general semiparametric and nonparametric alternative models. The test is based on the regression coefficient of the restricted model residuals on the fitted values of the more general model. A goodness-of-fit interpretation is given to the regression coefficient, and the test is based on the ...

The so-called Functional Linear Regression model consists in explaining a scalar response by a regressor which is a random function observed on a compact subset of R: in this context, the “parameter” of linear model is a function of the weights. In order to estimate this functional coefficient some estimators such as Functional Principal Component Regression Estimator, Smooth Principal Componen...

In this paper, we have used the mathematical analysis to make a best linear model of the receptors of the survival proteins i.e. Epidermal growth factor (EGF) and Insulin using ten concentrations combinations. The model was made using different types of regression analysis in which regression coefficient (r), adjusted regression coefficient (radj),PRESS, regression coefficient, cross validation...