Özet:

In statistics, Generalized Linear Karma Models GLKM is a special state of linear karma models. Generalized linear karma models are a state of generalized linear models with random effects in addition to the fixed effects that linear predictors have. Improving such models using the most probability method involves processes of integration through these random effects. Usually these integrals cannot be expressed clearly in an analytical form. Different approaches have been developed with the most possible method. However, none of these methods have good features for possible models and data sets. Therefore, methods such as Laplace, Numeric Quadrature or MCMC have evolved along with the increased use of computers and these advanced methods have become applicable. This study compared different approaches to analysis of parameters forecasts in cases where the dependent variable is Binary or Poisson and used the study data called "Young Population Problem Detection: Trabzon Example"

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