Linear Regression Models under Multicollinearity: Ridge Regression Inferential Techniques - Image 1

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LAP Lambert Academic Publishing Linear Regression Models under Multicollinearity: Ridge Regression Inferential Techniques

Name: Linear Regression Models under Multicollinearity: Ridge Regression Inferential Techniques
Brand: LAP Lambert Academic Publishing
Price: 60.0 GBP
Availability: InStock

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Description

This book proposes the various types of new Ridge regression estimators to deal with the problem of multicollinearity in multiple linear regression analysis.An Ordinary ridge regression estimators and an orthonormal( ridge regression estimators have been derived by selecting the values for ridge parameter based on studentized residuals.A partitioned linear regression model has been specified and the ridge regression estimator has been developed by using Internally studentized residual sum of squares.besides these,an Adaptive General Ridge regression estimator's and a new combined restricted ridge regression estimators have been proposed along with iterative procedures for the solutions of elements of ridge parameters matrix.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3659389765
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 24 July 2013
Listed Since: 25 July 2013

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LAP Lambert Academic Publishing Linear Regression Models under Multicollinearity: Ridge Regression Inferential Techniques

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