New robust estimators for the fixed effects negative binomial model: a simulation and real-world applications to European panel data.

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Title: New robust estimators for the fixed effects negative binomial model: a simulation and real-world applications to European panel data.
Authors: Abonazel, Mohamed R.1 (AUTHOR) mabonazel@cu.edu.eg, Ebrahim, Ehab Ebrahim Mohamed2 (AUTHOR), Ahmed, Elsayed G.3 (AUTHOR), El-Masry, Amera M.4 (AUTHOR)
Source: Frontiers in Applied Mathematics & Statistics. 2025, p1-12. 12p.
Database: Mathematics Source
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  Data: <searchLink fieldCode="JN" term="%22Frontiers+in+Applied+Mathematics+%26+Statistics%22">Frontiers in Applied Mathematics & Statistics</searchLink>. 2025, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=187836047
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3389/fams.2025.1638596
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
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      – TitleFull: New robust estimators for the fixed effects negative binomial model: a simulation and real-world applications to European panel data.
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            NameFull: Abonazel, Mohamed R.
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            NameFull: Ebrahim, Ehab Ebrahim Mohamed
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            NameFull: Ahmed, Elsayed G.
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            – D: 09
              M: 09
              Text: 2025
              Type: published
              Y: 2025
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            – TitleFull: Frontiers in Applied Mathematics & Statistics
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