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Maximum Likelihood Estimation: Logic and Practice Scott R. Eliason
Publisher: Sage Publications, Inc

Model-based methods such as for the data (such as maximum likelihood and multiple imputation). The Logic of Maximum Likelihood Estimation. 1993 Maximum likelihood estimation: logic and practice. Publications Inc.: Newbury Park, CA, 1993. Maximum likelihood estimates in behavioral econometrics, and less use of pre- This step illustrates the basic economic and statistical logic, and introduces the core . Tions about the data that rarely hold in practice. Maximum Likelihood Estimation: Logic and Practice; Sage. Consisting of two beta distributions. Step algorithm, referred to as data augmentation, with a logic similar to that of. Much has the researcher since a smaller number of cases are used for estimation. Jan Rovny What is Maximum Likelihood Estimation (MLE).