Given the extraordinary claim, we were eager to examine the supporting evidence and have noticed several issues that cause us to find the claim doubtful. In the low baseline TL subgroup (N=17), ...

A general nonlinear regression problem is considered with measurement error in the predictors. We assume that the response is related to an unknown linear combination ...

For nonparametric regression, where the regression function has discontinuity points, the kernel regression estimator and cross-validation are known to be affected by ...

Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...