Results 231 to 240 of about 548,762 (295)

Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models. [PDF]

Sci Rep
Mahdi WA, Alhowyan A, Obaidullah AJ.
europepmc   +1 more source

Caveats on Using Firth's Penalization in the Model-Based Regression Standardization for Rare Diseases. [PDF]

Stat Med
Hashibe S, Hongo W, Shinozaki T.
europepmc   +1 more source

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition. [PDF]

Discov Nano
Almansour S, Alkwai LM, Yadav K, Zneid BA, Pashtun F.   +4 more
europepmc   +1 more source

Ridge estimators

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A Study on Ridge Regression Estimators

A Study on Ridge Regression Estimators
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On the estimation of Bell regression model using ridge estimator

Communications in Statistics - Simulation and Computation, 2021
The bell regression is used, when the response variable is in the form of counts with over dispersion. The bell regression coefficients are generally estimated using the maximum likelihood estimator (MLE).
Muhammad Amin, M. Akram, Abdul Majid
semanticscholar   +2 more sources

Restricted Two Parameter Ridge Estimator

Australian and New Zealand Journal of Statistics, 2013
SummaryIn 2005 Lipovetsky and Conklin proposed an estimator, the two parameter ridge estimator (TRE), as an alternative to the ordinary least squares estimator (OLSE) and the ordinary ridge estimator (RE) in the presence of multicollinearity, and in 2006 Lipovetsky improved the two parameter model. In this paper, we introduce two new estimators, one of
Gülesen Ustundag Siray, Selma Toker
exaly   +2 more sources

Almost unbiased ridge estimator in Bell regression model: theory and application to plastic polywood data

Statistics
In this paper, a new regression estimator is proposed as an alternative to the ridge estimator in the case of multicollinearity in Bell regression model, called an almost unbiased ridge estimator.
Caner Tanis, Yasin Asar
exaly   +2 more sources

Developing a ridge estimator for the gamma regression model

Journal of Chemometrics, 2018
The ridge regression model has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The gamma regression model is a very popular model in the application when the response variable is positively ...
Zakariya Yahya Algamal
exaly   +2 more sources