Taha Hussein Ali

Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, Statistical Models and Methods for Lifetime Data, 2nd ed. (Wiley, 2003). 2 and , Statistical Methods for Reliability Data (Wiley, 1998). 3, Applied Life Data Analysis (Wiley, 1982). 4, “A Statistical Distribution Function of Wide Applicability,” Journal of Applied Mechanics 18 (1951): 293–297, https://doi.org/10.1115/1.4010337.

Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, Introduction to Statistical Quality Control, 8th ed. (Wiley, 2019). 2, “Some Applications of Statistical Methods to the Analysis of Physical and Engineering Data,” Bell System Technical Journal 3, no. 1 (1924): 43–87, https://doi.org/10.1002/j.1538-7305.1924.tb01347.x. 3, Economic Control of Quality of Manufactured Product (D.

This version is not peer-reviewed. Heyam Hayawi  *,Taha Hussein Ali,Amira Wali Omer Heyam Hayawi  *,Taha Hussein Ali,Amira Wali Omer This version is not peer-reviewed.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.