QA368 : Comparing the Performance of Some Bridge Estimators in Multiple Regression Model
Thesis > Central Library of Shahrood University > Mathematical Sciences > MSc > 2016
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Abstarct: When the problem of multicollinearity is present, the least squares estimator is not applicable and mostly biased shrinkage estimators are used. Then are plenty mathods to obtain shrinkage estimators.
One method is the bridge estimator with special cases ridge and LASSO estimators. On the other hand, in practice and economic models, there is a need to apply some prior information on the parameters of interest. The estimator obtains under this information is said the restricted estimator. In this thesis, the asymptotic performance of the bridge and restricted bridge are investigated.
A numerical algorithm is developed to derive the bridge estimator. Properties of the two special cases ridge and LASSO are studies.
Keywords:
#Multicollinearity #Shrinkage method #Bridge estimator #Ridge estimator #LASSO #Linear constraint
Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: