 Quasi-maximum likelihood estimate

The Quasi-Maximum Likelihood Estimate (QMLE) is a statistical method used for estimating parameters in models where the likelihood function may not be fully specified, especially in the presence of certain types of model misspecification, such as non-normality of the errors or when the distribution of the data is not well-known.