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Low-probability insurance decisions : the role of concern
Schade, Christian D.; Kunreuther, Howard; Kaas, Klaus Peter - 2002
On the basis of a real high stakes insurance experiment with small probabilities of losses, we demonstrate that concern … is a more important driver of WTP for insurance than subjective probability estimates when there is ambiguity surrounding … probability insurance "puzzle" well known from the literature, where a part of individuals pays too much and a part nothing for …
Persistent link: https://www.econbiz.de/10009621421
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Nonparametric estimation and testing of interaction in additive models
Sperlich, Stefan; Tjostheim, Dag; Yang, Lijian - 1998
We consider an additive model with second order interaction terms. It is shown how the components of this model can be estimated using marginal integration, and the asymptotic distribution of the estimators is derived. Moreover, two test statistics for testing the presence of interactions are...
Persistent link: https://www.econbiz.de/10009574875
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Projection pursuit regression and neural networks
Klinke, Sigbert; Grassmann, J. - 1998
Persistent link: https://www.econbiz.de/10009576213
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Regression and contrast estimated based on adaptive regressograms depending on qualitative explanatory variables
Bunke, Olaf; Castell, Ernestina - 1998
This methodological paper discusses the application of "adaptive" non-parametric procedures for estimating regression functions or contrasts in situations with quantitative regressands and qualitative regressors. We propose to apply an adaptive regressogram, that is the selection of a...
Persistent link: https://www.econbiz.de/10009577458
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Constructive asymptotic equivalence of density estimation and Gaussian white noise
Nussbaum, Michael; Klemelä, Jussi - 1998
A recipe is provided for producing, from a sequence of procedures in the Gaussian regression model, an asymptotically equivalent sequence in the density estimation model with i. i. d. observations. The recipe is, to put it roughly, to calculate square roots of normalised frequencies over certain...
Persistent link: https://www.econbiz.de/10009578013
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A nonparametric test of the non-convexity of regression
Diack, Cheikh A. T.; Thomas-Agnan, Christine - 1998
This paper proposes a nonparametric test of the non-convexity of a smooth regression function based on least squares or hybrid splines. By a simple formulation of the convexity hypothesis in the class of all polynomial cubic splines, we build a test which has an asymptotic size equal to the...
Persistent link: https://www.econbiz.de/10009578020
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Additive and generalized additive models : a survey
Schimek, Michael G.; Turlach, Berwin A. - 1998
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
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Semiparametric additive indices for binary response and generalized additive models
Härdle, Wolfgang; Huet, Sylvie; Mammen, Enno; … - 1998
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
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An equality test across nonparametric regressions
Lavergne, Pascal - 1998 - Rev.
A procedure for testing equality across nonparametric regressions is proposed. The procedure allows for any dimension of the explanatory variables and for any number of subsamples. We consider the case of random explanatory variables and allow the designs of the regressors and the number of...
Persistent link: https://www.econbiz.de/10009578576
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Computer-assisted generalized partial linear models
Müller, Marlene - 1997
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