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      Developing a Liu‐type estimator in beta regression model

      Author(s): 1 , 2
      Publication date (Electronic):
      Journal: Concurrency and Computation: Practice and Experience
      Publisher: Wiley

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          Ridge Regression: Biased Estimation for Nonorthogonal Problems

          Arthur E. Hoerl, Robert Kennard (1970)
          Article 0 comments Cited 1262 times – based on 0 reviews     Review now
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            Beta Regression for Modelling Rates and Proportions

            Silvia Ferrari, Francisco Cribari-Neto (2004)
            Article 0 comments Cited 517 times – based on 0 reviews     Review now
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              Beta Regression inR

              Francisco Cribari-Neto, Achim Zeileis (2010)
              Article 0 comments Cited 271 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Zakariya Yahya Algamal: (View ORCID Profile)
                Mohamed R. Abonazel: (View ORCID Profile)
                Journal
                Title: Concurrency and Computation: Practice and Experience
                Abbreviated Title: Concurrency and Computation
                Publisher: Wiley
                ISSN (Print): 1532-0626
                ISSN (Electronic): 1532-0634
                Publication date Created: February 28 2022
                Publication date (Electronic): November 02 2021
                Publication date (Print): February 28 2022
                Volume: 34
                Issue: 5
                Affiliations
                [1 ]Department of Statistics and Informatics University of Mosul Mosul Iraq
                [2 ]Department of Applied Statistics and Econometrics, Faculty of Graduate Studies for Statistical Research Cairo University Giza Egypt
                Article
                DOI: 10.1002/cpe.6685
                SO-VID: 26b5071e-e02c-4cd6-9aab-456fa29166a4
                Copyright © © 2022
                License:

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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