What is it about?
The value of the Ridge Parameter k, as scalar, vector, and matrix, is calculated by different ways.
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Why is it important?
Using the mean squares errors criterion, the estimating Ridge Regression procedure along the vector Ridge Parameter k can provide reasonable results. K as scalar follows and then comes k as matrix.
Perspectives
When there are highly linked predictor variables in the model, the Ridge Regression methodology is more effective than the Least Squares one.
Professor Mowafaq Muhammed Al-kassab
Tishik International University
Read the Original
This page is a summary of: Methods of Obtaining the Ridge Parameter K in Multiple Linear Regression Analysis, January 2024, Springer Science + Business Media,
DOI: 10.1007/978-981-97-4876-1_40.
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