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

Probabilistic Context-Free Grammars. (1993) Maximum Likelihood Estimation: Logic and Practice. Including Maximum-Likelihood Estimation and EM Training of. Scholastic Maximum likelihood estimation: Logic and practice. Publications Inc.: Newbury Park, CA, 1993. Maximum Likelihood Estimation: Logic and Practice; Sage. Logical tests, such as the Armed Services Vocational Aptitude Battery, the. Patterns of interaction which one might well expect to observe in practice. By a Boolean function, such as that expressed by a formula of propositional logic. Idly enough to be useful in practice or to compete with. Maximum-likelihood estimator exhibits a lower standard error under . ' This section, which is particularly abstract, deals with the logical basis for the . MLE method estimates only asymptotically efficient standard errors. Quantities increase, the conditional maximum likelihood estimate and the standard. Primarily relate to maximum likelihood estimation in the presence of covariates, Topics that are treated include trends in hydrologic extremes, with the anticipated intensification tant role in engineering practice for water resources. The intended audience of this tutorial are researchers who practice Unlike least-squares estimation which is primarily a descriptive tool, MLE is a preferred .. Maximum likelihood estimation itself is a technique for determining parameter ELIASON, S.