Generalized linear models examination of detailed observations and application of gamma distribution

The aim of this thesis is; In cases where linear or nonlinear models do not show normal distribution and fixed variance options, they can be filtered and filtered by using generalized linearized models by distributing their families in their respective exponential distribution. To give information about the general content of the thesis; In the first chapter, you will learn about state status from a basic modeling, learn about discrete and continuous distributions that are members of the exponential etching family. The second part is the introduction to generalized linear models and the connections with GLM, the method of connection analysis, the model design, and the third part is the stata program implementation of the data from the medical faculty and the requirements for the application are planned. Keywords: Generalized Linear model, link Function, Gamma Distribution.