Consider additive nonparametric regression model with two predictor variables components.
In the first predictor component, the regression curve is approached using Spline regression …

Multivariable additive nonparametric regression model is a nonparametric regression model
that involves more than one predictor and has additively separable function on each …

Poverty is a very serious problem and often faced by the countries in the world, especially
developing countries. The percentage of poor people in Indonesia reached 11.47 percent in …

Pendekatan regresi nonparametrik digunakan apabila hubungan antara variabel prediktor
dan variabel respon tidak diketahui polanya. Spline truncated dan deret Fourier merupakan …

The semiparametric regression is one of the three forms of regression analysis which is
made up of parametric and nonparametric. While the parametric is based on linear …

Data given in pairs,(t 1i,… t pi, z 1i,…, z qi, yi), i= 1, 2,…, n which follows the nonparametric
regression model multivariable predictors of additives:(Formula presented) The regression …

Nonparametric regression has high flexibility in estimating the regression curve. Estimation
techniques that are quite popular in nonparametric regression are Fourier Series estimators …

A novel family of Cosine series Quantum Sampling (QCoSamp) operators appropriate for
quantum computing is described. The development of quantum algorithms, analogous to …

Regression analysis is a statistical analysis used to determine the pattern of relationships
between predictor variables and response variables. There are two models of estimation …

Nonparametric regression aims to determine the relationship between response and
predictor when the data does not follow a specific pattern. Fourier series is a nonparametric …