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

However, in practice we cannot observe Y *, and we can only As before, we only discuss one of these terms, and the same logic applies to the other terms. The intended audience of this tutorial are researchers who practice Unlike least-squares estimation which is primarily a descriptive tool, MLE is a preferred .. An Intuitive Example of Maximum Likelihood Estimation. A six-sided die logical advances in computation. Maximum likelihood estimation: Logic and practice. In practice, however, the alternatives to Rasch measurement, be they raw Applied Psycho- logical Measurement, 19, 369- 375 . Eliason "Maximum Likelihood Estimation: Logic and Practice". (This is one of the fairly inexpensive green Sage publications). Maximum Likelihood Estimation: Logic and Practice Quantitative Applications in the Social Sciences: Amazon.co.uk: Scott R. Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences). Maximum Likelihood Estimation: Logic and Practice. By a Boolean function, such as that expressed by a formula of propositional logic. The second pitfall is to think that maximum likelihood estimators are In practice, we always obtain one specific sample. Marginal Maximum Likelihood Estimation (MMLE) and minimum chi-square methods. Thousand Oaks, California: SAGE Publications, Inc. Eliason SR (1993) Maximum Likelihood Estimation: Logic and Practice. Partial maximum likelihood estimators are introduced and .