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Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland...

Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2552745371

Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland Cement and US Crime Data

About this item

Full title

Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland Cement and US Crime Data

Publisher

New York: Hindawi

Journal title

Mathematical problems in engineering, 2021, Vol.2021, p.1-11

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

In multiple linear regression models, the multicollinearity problem mostly occurs when the explanatory variables are correlated among each other. It is well known that when the multicollinearity exists, the variance of the ordinary least square estimator is unstable. As a remedy, Liu in [1] developed a new method of estimation with biasing paramete...

Alternative Titles

Full title

Quantile-Based Estimation of Liu Parameter in the Linear Regression Model: Applications to Portland Cement and US Crime Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2552745371

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2552745371

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2021/1772328

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