Information Criteria AIC

Statistical modeling is a crucial issue in scientific data analysis. Models are used to represent stochastic structures, predict future behaviour, and extract usful information from data. Many researchers in medicine, engineering, social sciences and economics, planning, management, geography, physics, mathematics, statistics and other sciences to conduct an investigation, according to the data available for the test under consideration requires notice to the selection criteria models are suitable. When the correct model is unknown, the researchers proposed a family of models to find the closest model is the correct model, it is necessary to define a criterion for unbiased information. This paper examines the information criteria AIC and AICc deals.

کلیدواژه ها:

: Akaik weight ، Information Criterion ، Model Selection ، Regression