Results 31 to 40 of about 3,187,155 (299)
LASSO type penalized spline regression for binary data
BMC Medical Research Methodology, 2021 Background Generalized linear mixed models (GLMMs), typically used for analyzing correlated data, can also be used for smoothing by considering the knot coefficients from a regression spline as random effects.
Muhammad Abu Shadeque Mullah +2 more
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Journal of Advanced Research in Natural and Applied Sciences, 2020 The determination of leverage observations have been frequently investigated through ordinary least squares and some biased estimators proposed under the multicollinearity problem in the linear regression models.
Tuğba Söküt
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Robust Permutation Tests for Penalized Splines
Stats, 2022 Penalized splines are frequently used in applied research for understanding functional relationships between variables. In most applications, statistical inference for penalized splines is conducted using the random effects or Bayesian interpretation of ...
Nathaniel E. Helwig
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Boosting Correlation Based Penalization in Generalized Linear Models [PDF]
, 2007 In high dimensional regression problems penalization techniques are a useful tool for estimation and variable selection. We propose a novel penalization technique that aims at the grouping effect which encourages strongly correlated predictors to be in ...
Tutz, Gerhard, Ulbricht, Jan
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The efficiency of modified jackknife and ridge type regression estimators: a comparison [PDF]
Surveys in Mathematics and its Applications, 2008 A common problem in multiple regression models is multicollinearity, which produces undesirable effects on the least squares estimator. To circumvent this problem, two well known estimation procedures are often suggested in the literature.
Sharad Damodar Gore +2 more
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Generalized smooth monotonic regression [PDF]
, 2005 Common approaches to monotonic regression focus on the case of a unidimensional covariate and continuous dependent variable. Here a general approach is proposed that allows for additive and multiplicative structures where one or more variables have ...
Gerhard Tutz +3 more
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International Journal of Science and Engineering, 2015 This paper presents Reliability Based Design Optimization (RBDO) model to deal with uncertainties involved in concrete mix design process. The optimization problem is formulated in such a way that probabilistic concrete mix input parameters showing ...
Rachna Aggarwal +3 more
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Entropy, 2023 We develop a new model for spatio-temporal data. More specifically, a graph penalty function is incorporated in the cost function in order to estimate the unknown parameters of a spatio-temporal mixed-effect model based on a generalized linear model ...
Roméo Tayewo +3 more
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Generalizations of Mean Square Error Applied to Ridge Regression [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1974 Summary Hoerl and Kennard (1970) have proposed a method of estimation for multiple regression problems which involves adding small positive quantities to the diagonal of XT X. They use a type of mean square error to justify the procedure.
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An efficient generalized ridge estimator for logistic regression model
Информатика. Экономика. УправлениеIn the logistic regression model (LRM), the maximum likelihood estimator (MLE) is commonly employed to estimate unknown model parameters. However, when substantial multicollinearity exists among the explanatory variables, the MLE produces unstable ...
Ахмед Мутлаг Алгбури
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