THE EFFICIENCY OF MODIFIED JACKKNIFE AND RIDGE TYPE REGRESSION ESTIMATORS: A COMPARISON

By Feras Sh, Thekke V Batah, Sharad Ramanathan, Gore. 2008

78 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/597d93141d31e63a726960f5787da95f2d08817c

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1. Zakariya Yahya Algamal
2. Gamze Özel
3. Semra Türkan
4. A. V. Dorugade
5. Muhammad Qasim

Citations in the corpus

• New ridge parameters for ridge regression (2014, background): “(5) Batah et al. (2008) proposed a ridge parameter and it is given by n kiðFGÞ 1⁄4 r̂(2) â4i k 2 i =4r̂ 2 þ 6â4i ki=r̂(2) 1=2”
• A new modified Jackknifed estimator for the Poisson regression model (2016, background): “[3] studied the effect of Jackknifing on various ridge-type estimators.”
• Developing a ridge estimator for the gamma regression model (2018, unknown): “cov bβGR 1⁄4 −E ∂(2)l β ð Þ ∂βi ∂βk −1 1⁄4 ν XTc WX −1: (9)”
• Shrinkage estimators for gamma regression model (2018, methodology): “Ridge regression is a shrinkage method that shrinks all regression coefficients toward zero to reduce the large variance (Asar and Genç, 2015; Batah et al., 2008).”