Empirical likelihood
Method of estimating statistical parameters / From Wikipedia, the free encyclopedia
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In probability theory and statistics, empirical likelihood (EL) is a nonparametric method for estimating the parameters of statistical models. It requires fewer assumptions about the error distribution while retaining some of the merits in likelihood-based inference. The estimation method requires that the data are independent and identically distributed (iid). It performs well even when the distribution is asymmetric or censored.[1] EL methods can also handle constraints and prior information on parameters. Art Owen pioneered work in this area with his 1988 paper.[2]