Výsledky vyhledávání - "Generalized regression models"

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Detection of nonlinearity, discontinuity and interactions in generalized regression models

Autor: Spuck, Nikolai, Schmid, Matthias, Berger, Moritz

In generalized regression models the effect of continuous covariates is commonly assumed to be linear. This assumption, however, may be too restrictive in applications and may lead to biased effect estimates and decreased predictive ability. While a

Externí odkaz: http://arxiv.org/abs/2310.20409

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Measurement Errors in Semiparametric Generalized Regression Models

Autor: Hattab, Mohammad W., Ruppert, David

Regression models that ignore measurement error in predictors may produce highly biased estimates leading to erroneous inferences. It is well known that it is extremely difficult to take measurement error into account in Gaussian nonparametric regres

Externí odkaz: http://arxiv.org/abs/2104.04190

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Akademický článek

Assessing the Development of Shorebird Eggs Using the Flotation Method: Species-Specific and Generalized Regression Models

Autor: Liebezeit, Joseph R., Smith, Paul A., Lanctot, Richard B., Schekkerman, Hans, Tulp, Ingrid, Tracy, Diane M., Robinson, Julie A., Gratto-Trevor, Cheri

Publikováno v: The Condor, 2007 Feb 01. 109(1), 32-47.

Externí odkaz: https://www.jstor.org/stable/4122529

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Optimum design via I-divergence for stable estimation in generalized regression models

Autor: Burclová, Katarína, Pázman, Andrej

Optimum designs for parameter estimation in generalized regression models are standardly based on the Fisher information matrix (cf. Atkinson et al (2014) for a recent exposition). The corresponding optimality criteria are related to the asymptotic p

Externí odkaz: http://arxiv.org/abs/1507.07443

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