e mail diackeurandomtuenl This paper proposes a hypothesis testing procedure for nonparametric regression models based on least squares splines We assume that the sample is a part of stationary sequence which satisfy a mild mixing property The approach yields tests of monotonicity and convexity Resume Nous proposons une proc edure de test pour la fonction de regression bas ee sur les splines de r egression Nous supposons que l echantillon est une partie dune suite stationnaire qui satisfait des conditions m elangeantes Notre approche fournit un test de monotonie et de convexit e Key words Testing monotonicity Convexity Central limit theorem Bsplines Mixin
A new nonparametric procedure for testing monotonicity of a regression mean is proposed. The test is...
In some applications, we require a monotone estimate of a regression function. In others, we want to...
Abstract: We examine a test of a nonparametric regression function based on pe-nalized spline smooth...
This paper proposes a hypothesis testing procedure for nonparametric regression models based on regr...
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This paper proposes a nonparametric test of the non-convexity of a smooth regression function based ...
This paper proposes a nonparametric test of the nonconvexity of a smooth regression function based o...
A consistent nonparametric test of the convexity of regression based on least squares spline
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SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
© 2016, Sociedad de Estadística e Investigación Operativa. We consider varying coefficient models wh...
In some regression settings one would like to combine the flexibility of nonparametric smoothing wit...
Spline smoothing is a popular method of nonparametric curve \u85tting. It is known that, after a reo...
In all regression problems the choice of model and estimation method is due to a priori information ...
Regression spline smoothing is a popular approach for conducting nonparametric regression
A new nonparametric procedure for testing monotonicity of a regression mean is proposed. The test is...
In some applications, we require a monotone estimate of a regression function. In others, we want to...
Abstract: We examine a test of a nonparametric regression function based on pe-nalized spline smooth...
This paper proposes a hypothesis testing procedure for nonparametric regression models based on regr...
This paper provides a test of convexity of a regression function. This test is based on the least sq...
This paper proposes a nonparametric test of the non-convexity of a smooth regression function based ...
This paper proposes a nonparametric test of the nonconvexity of a smooth regression function based o...
A consistent nonparametric test of the convexity of regression based on least squares spline
This paper proposes a nonparametric regression test of non-convexity of a smooth regression function...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
© 2016, Sociedad de Estadística e Investigación Operativa. We consider varying coefficient models wh...
In some regression settings one would like to combine the flexibility of nonparametric smoothing wit...
Spline smoothing is a popular method of nonparametric curve \u85tting. It is known that, after a reo...
In all regression problems the choice of model and estimation method is due to a priori information ...
Regression spline smoothing is a popular approach for conducting nonparametric regression
A new nonparametric procedure for testing monotonicity of a regression mean is proposed. The test is...
In some applications, we require a monotone estimate of a regression function. In others, we want to...
Abstract: We examine a test of a nonparametric regression function based on pe-nalized spline smooth...