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Articles

Gamma Regression Model for Insurance Claims Analysis: A Comparative Study on Link Functions and Their Influence on Cost Predictions

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By Heyam Hayawi, Taha Hussein Ali
| preprints.org
This version is not peer-reviewed. Heyam Hayawi  *,Taha Hussein Ali,Amira Wali Omer Heyam Hayawi  *,Taha Hussein Ali,Amira Wali Omer This version is not peer-reviewed. The Gamma Regression Model is useful when the dependent variable is continuous and positive, and the data follows a Gamma distribution. It is a Generalized Linear Model of the type GLM, which is useful for fitting models when assumptions of normal error distribution are not reasonable.
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Life Tables and Survival Analysis: Statistical Applications and Methods in Medical and Clinical Studies

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By Taha Abdi Ali, Dlshad Mahmood Saleh, Heyam Hayawi, Bekhal Samad Sedeeq
| preprints.org
You are already at the latest version Life tables and survival analysis are crucial statistical tools that have been widely applied in various areas of research, particularly in medicine and clinical studies. They help predict survival probabilities over time as well as assess the impact of covariates on survival outcomes.
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A Comprehensive Overview of Ordinal Regression in Statistical Modeling

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By Bekhal Samad Sedeeq, Taha Abdi Ali, Heyam Hayawi
| preprints.org
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