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Dergiler / Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics / 2026 / Volume: 73 Issue: 3

Two parameter Ridge estimator for the Bell regression model

Melike Işılar(ESKISEHIR OSMANGAZI UNIVERSITY, GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES)0000-0001-6821-1064
Y. Murat Bulut(ESKISEHIR OSMANGAZI UNIVERSITY)0000-0002-0545-7339
Sayfa
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Yayın Tarihi
2024-09-27
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

BTPRE is superior to other estimators.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:One solution to the multicollinearity problem in the Bell regression model, which is utilized for over-dispersion issues, is biased estimators.
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Temel Bulgular & Veri:In recent years, some biased estimators have been proposed in the Bell regression model that can be used in modelling correlated count data.
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Sonuç & Katkı:BTPRE is superior to other estimators.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Regression · count data · overdispersion

Abstract

One solution to the multicollinearity problem in the Bell regression model, which is utilized for over-dispersion issues, is biased estimators. In recent years, some biased estimators have been proposed in the Bell regression model that can be used in modelling correlated count data. In this article, Bell two-parameter ridge estimator (BTPRE) is proposed. This two-parameter estimator has some advantages over the previously proposed estimators. More efficient results are obtained than the Maximum Likelihood estimator (MLE) and Bell Ridge estimator (BRE) in the case of multicollinearity by using BTPRE. Monte Carlo simulation study and real data results are obtained to show that the proposed estimator is better. Estimators have been compared according to the Mean Squared Error (MSE) criterion. BTPRE is superior to other estimators.

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Bu Makaleye Atıf Yap

Işılar, M., Bulut, Y. M. (2024). Two parameter Ridge estimator for the Bell regression model. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 73 Issue: 3. https://doi.org/10.31801/cfsuasmas.1397263

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