We develop a new method for variable selection in nonparametric functional concurrent regression. The commonly used linear model (FLCM) is far too restrictive assuming linearity of the covariate effects, which not necessarily true many real-world applications. (NPFCM), on other hand, much more flexible and can capture complex dynamic relationships present between response covariates. extend cla...

aging declines abilities and leads to increased risk of falling and subsequently poorer quality of life. the objective of this study was to identify a proper assessment for risk of falling among institutionalized elderly. in order to accomplish this aim, two functional assessment methods, berg scale and tinetti scale, were used and the validity indices of these methods were calculated. prospect...

 Traditional regression analyses assume normality of observations and independence of mean and variance. However, there are many examples in science and Technology where the observations come from a skewed distribution and moreover there is a functional dependence between variance and mean. In this article, we propose a method for regression analysis under Inverse Gaussian model when th...