Almost unbiased ridge estimator in Bell regression model: theory and application to plastic polywood data

DOI10.1080/02331888.2024.2389416MaRDI QIDQ6633369

Caner Taniş, Yasin Asar

Publication date: 5 November 2024

Published in: Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• On the Bell distribution and its associated regression model for count data
• A class of almost unbiased and efficient estimators of regression coefficients
• Exponential polynomials
• Cyber risk measurement with ordinal data
• More on the Bias and Variance Comparisons of the Restricted Almost Unbiased Estimators
• On almost unbiased ridge logistic estimator for the logistic regression model
• On the Liu estimation of Bell regression model in the presence of multicollinearity
• Collinearity in generalized linear models
• On ordinary ridge regression in generalized linear models
• Choosing Ridge Parameter for Regression Problems
• Performance of Some New Ridge Regression Estimators
• Exponential Numbers
• New ridge estimators in the inverse Gaussian regression: Monte Carlo simulation and application to chemical data
• GEE-based Bell model for longitudinal count outcomes
• Ridge Regression: Applications to Nonorthogonal Problems
• Almost unbiased ridge estimator in the gamma regression model
• On the estimation of Bell regression model using ridge estimator

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