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regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence …
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asymptotic distribution is derived and shown to be approximated by a bootstrap procedure. -- bootstrap ; nonlinear regression …
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; Geometric Mixing ; Local Polynomial Regression ; Marginal Integration ; Multiplicative Volatility ; Stationary Probability …
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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...
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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
-specific mortality in a population of roughly 1.2 million Mediterranean fruit flies (Ceratitis Capitata). The quantile regression …Chaudhuri, Doksum and Samarov (1997) have recently stressed the usefulness of the quantile regression formulation for … survival analysis and for transformation models, more generally. In this paper, we explore the use of quantile regression in …
Persistent link: https://www.econbiz.de/10009580464
Applying nonparametric variable selection criteria in nonlinear regression models generally requires a substantial … without problems. -- nonlinear regression ; Autoregression ; nonlinear time series ; nonparametric variable selection ; time …
Persistent link: https://www.econbiz.de/10009580488