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regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence …
Persistent link: https://www.econbiz.de/10009627286
for the production function is discussed. -- Nonparametric Regression ; Additive Models ; Testing Additivity ; Derivative …
Persistent link: https://www.econbiz.de/10009574875
Persistent link: https://www.econbiz.de/10009576213
This methodological paper discusses the application of "adaptive" non-parametric procedures for estimating regression …
Persistent link: https://www.econbiz.de/10009577458
A recipe is provided for producing, from a sequence of procedures in the Gaussian regression model, an asymptotically … observations from a Gaussian discrete regression model. -- asymptotic minimax risk ; Nonparametric experiments ; deficiency …
Persistent link: https://www.econbiz.de/10009578013
This paper proposes a nonparametric test of the non-convexity of a smooth regression function based on least squares or …
Persistent link: https://www.econbiz.de/10009578020
This paper is the attempt to summarize the state of art in additive and generalized additive models (GAM). The emphasis is on approaches and numerical procedures which have emerged since the monograph of Hastie and Tibshirani (1990) although reconsidering certain aspects of their work. Apart...
Persistent link: https://www.econbiz.de/10009578569
Models are studied where the response Y and covariates X, T are assumed to fulfill E(Y|X; T) = G{XT β + α + m1(T1) + … + md(Td)}. Here G is a known (link) function, β is an unknown parameter, and m1, …, md are unknown functions. In particular, we consider additive binary response models...
Persistent link: https://www.econbiz.de/10009578571
general test of significance for qualitative variables in a nonparametric regression. In the case of a fixed C, our procedure … all alternatives. We study its small sample behavior through Monte-Carlo simulations. -- Nonparametric regression …
Persistent link: https://www.econbiz.de/10009578576
A particular semiparametric model of interest is the generalized partial linear model (GPLM) which allows a nonparametric modeling of the influence of the continuous covariables. The paper reviews different estimation procedures based on kernel methods and test procedures on the correct...
Persistent link: https://www.econbiz.de/10009657892