Smoothing Spline Semiparametric Nonlinear Regression Models
نویسندگان
چکیده
منابع مشابه
Smoothing Spline Semi-parametric Nonlinear Regression Models
We consider the problem of modeling the mean function in regression. Often there is enough knowledge to model some components of the mean function parametrically. But for other vague and/or nuisance components, it is often desirable to leave them unspecified and to be modeled nonparametrically. In this article, we propose a general class of smoothing spline semi-parametric nonlinear regression ...
متن کاملGeneralized Ridge Regression Estimator in Semiparametric Regression Models
In the context of ridge regression, the estimation of ridge (shrinkage) parameter plays an important role in analyzing data. Many efforts have been put to develop skills and methods of computing shrinkage estimators for different full-parametric ridge regression approaches, using eigenvalues. However, the estimation of shrinkage parameter is neglected for semiparametric regression models. The m...
متن کاملExistence and Uniqueness of Penalized Least Square Estimation for Smoothing Spline Nonlinear Nonparametric Regression Models
where Ni are known nonlinear functionals, g = (g1, · · · , gr) are unknown functions, and 2i iid ∼ N(0, σ) are random errors. Without loss of generality, we assume that r = 2. As in O’Sullivan (1990), we express design points x explicitly in the functional Ni: Ni(g1, g2) = η(g1, g2; xi), where η is a known nonlinear functional. In the following sections, η(g1, g2; x) is sometimes also represent...
متن کاملA Comparison of the Nonparametric Regression Models using Smoothing Spline and Kernel Regression
This paper study about using of nonparametric models for Gross National Product data in Turkey and Stanford heart transplant data. It is discussed two nonparametric techniques called smoothing spline and kernel regression. The main goal is to compare the techniques used for prediction of the nonparametric regression models. According to the results of numerical studies, it is concluded that smo...
متن کاملGoodness-of-fit test for nonparametric regression models: Smoothing spline ANOVA models as example
Nonparametric regression models do not require the specification of the functional form between the outcome and the covariates. Despite their popularity, the amount of diagnostic statistics, in comparison to their parametric counterparts, is small. We propose a goodness-of-fit test for nonparametric regression models with linear smoother form. In particular, we apply this testing framework to s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2009
ISSN: 1061-8600,1537-2715
DOI: 10.1198/jcgs.2009.0010