دانلود گزارش کارورزی و کار آموزی

چکیده : 

The aim of this paper is to propose some diagnostic methods in double generalized linear

models (DGLMs) for large samples. A review of DGLMs is given, including the iterative process

for the estimation of the mean and precision coefficients as well as some asymptotic

results. Then, a variety of diagnostic tools, such as leverage measures and curvatures of local

influence under some usual perturbation schemes, the standardized deviance component,

and Pearson residuals, are proposed. The diagnostic plots are constructed for the mean and

precision models, and an illustrative example, in which the texture of four different forms

of light snacks is compared across time with the texture of a traditional one, is analyzed

under appropriate double gamma models. Some of the diagnostic procedures proposed in

the paper are applied to analyze the fitted selected model.