Linear Regression Models under Multicollinearity

Lieferzeit: Lieferbar innerhalb 14 Tagen

76,90 

Ridge Regression Inferential Techniques

ISBN: 3659389765
ISBN 13: 9783659389764
Autor: Pushpalatha, M/Naidu, M Bhupathi/Pagadala, Balasiddamuni
Verlag: LAP LAMBERT Academic Publishing
Umfang: 216 S.
Erscheinungsdatum: 24.05.2018
Auflage: 1/2018
Format: 1.3 x 22 x 15
Gewicht: 340 g
Produktform: Kartoniert
Einband: KT

Beschreibung

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.

Autorenporträt

She is working as senior lecturer in statistics in Padmavathi Womens Degree and PG College, Tirupati ,A.P.,INDIA.She has 13 Years of Teaching Experience. She ha published 3 papers in National/International Journals and 6 Research Papers were presented at national/International Seminars/Conferences.

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