Information Criteria AIC

Information Criteria AIC

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Part of #Information Criteria AIC# :

Publishing year : 2014

Conference : First National Conference on Industrial Mathematics

Number of pages : 6

Abstract: Statistical modeling is a critical issue in scientific data analysis. Models are used to represent stochastic structures, predict future behaviors, and extract usful information from data. According to the data available for the test under consideration, many researchers in medicine, engineering, social sciences and economics, planning, management, geography, physics, mathematics, statistics, and other sciences are required to make a selection, . 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 for AIC and AICc deals.