Quadratic regression functionals are important for bandwidth selection of nonparametric regression techniques and for nonparametric goodness-of-t test. Based on local polynomial regression , we propose estimators for weighted integrals of squared derivatives of regression functions. The rates of convergence in mean square error are calculated under various degrees of smoothness and appropriate ...

support vector regression (svr) solves regression problems based on the concept of support vector machine (svm). in this paper, a new model of svr with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

this study was conducted to investigate the effects of different temperatures on seed germination of plantago ovata and also to evaluate cardinal temperatures. various constant temperatures (5, 10, 15, 20, 25, 30 and 35ºc) were conducted in a completely randomized design with four replications. the germinated seeds were counted every day and the rate of germination percentage, cumulative germin...