Linear Regression Models with Heteroscedastic Errors: Inferential Aspects of Heteroscedastic Errors - Couverture souple

Sreenivasulu, K.; Bajaj, V.H.; Pagadala, Balasiddamuni

Couverture souple

ISBN 10 : 3659389722 ISBN 13 : 9783659389726

Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

In this some new estimation methods and testing procedures for the linear regression models with heteroscedastic disturbances. A Minimum Norm Quadratic Unbiased (MINQU) estimation method has been developed for estimating the unknown heteroscedastic error variances by using the weighted studentized residuals. A multiplicative heteroscedastic linear regression model has been specified and a method of estimating the parameters of linear regression model along with the in the heteroscedastic error variance has been given by using the predicted residuals. Three types of modified estimators have been proposed for the parameter of multiplicative heteroscedastic error variance by using internally studentized residuals.an adaptive method of estimation has been suggested to estimate the heteroscedastic error variances based on Bartlett’s test by using the internally studentized residuals. Besides these new estimation methods, the testing procedures for testing the equality between the regression coefficients in two/sets of linear regression models under heteroscedasticity have been suggested by using the studentized residuals.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2013
• Langue: anglais
• ISBN 10: 3659389722
• ISBN 13: 9783659389726
• Reliure: Broché
• Nombre de pages: 268
• Coordonnées du fabricant: non disponible
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