Some Modifications for Choosing Ridge Parameters

By Mahdi A. Alkhamisi, G. Khalaf, Ghazi Shukur. 2006

178 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/99aa17769f545b820943aa6dac292784f3f65902

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In Analytical Chemistry

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Citations in the corpus

On Ridge Parameters in Logistic Regression (2011, methodology): “To mention a few, McDonald and Galarneau (1975), Lawless and Wang (1976), Saleh and Kibria (1993), Haq and Kibria (1996), Kibria (2003, 2004), Kibria and Saleh (2004), Khalaf and Shukur (2005), Alkhamisi et al. (2006), and Muniz and Kibria (2009). However, all these and other alternative ridge estim”
On some beta ridge regression estimators: method, simulation and application (2021, methodology): “[16] suggested kAKS method and this method is defined for BRR:”
A Poisson ridge regression estimator (2011, methodology): “To mention a few, Hoerl and Kennard (1970a,b), Hoerl et al. (1975), McDonald and Galarneau (1975), Lawless and Wang (1976), Dempster et al. (1977), Gibbons (1981), Kibria (2003), Khalaf and Shukur (2005), Alkhamisi et al. (2006), Alkhamisi and Shukur (2008) and Muniz and Kibria (2009).”
Review and classications of the ridge parameter estimation techniques (2017, methodology): “Table 3 gives the summary of the di erent forms and various types of the Alkhamisi et al (2006) ridge parameter.”
A new modified Jackknifed estimator for the Poisson regression model (2016, background): “[1], Alkhamisi and Shukur [2], Khalaf and Shukur [13], Kibria [15], Manson and Shukur [20], and Muniz and Kibria [24].”
On Developing Ridge Regression Parameters: A Graphical investigation (2012, methodology): “Some proposed new estimators Following Kibria (2003), Khalaf and Shukur (2005), Alkhamisi et al. (2006) and Alkhamisi and Shukur (2008), we proposed the following estimators.”
Modified ridge‐type estimator to combat multicollinearity: Application to chemical data (2019, unknown): “B bαD k; d ð Þ 1⁄2 1⁄4 e Rk − I α; (24)”
Performance of a new ridge regression estimator (2010, methodology): “Although many estimators can be considered in this simulation study (Kibria, 2003; Khalaf and Shukur, 2005; Alkhamisi et al., 2006; Alkhamisi and Shukur, 2007 and Al-Hassan, 2008), we will only consider OLS, HK and HSL estimators and compare them with NHSL.”