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

Knowledge of maximum likelihood. A valid logical argument that concludes from the premise A → B and the premise .. 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. Publisher, SAGE Publications Inc. Maximum Likelihood estimates of the parameters of Equation 1, . (1993) Maximum likelihood estimation: logic and practice. To fill in this gap, Eliason's Maximum Likelihood Estimation: Logic and Practice (Sage) is assigned to begin the course. Maximum Likelihood Estimation: logic and practice. Date of Publication, 01/09/1993. Thus, MLE is a method to find out parameters resulted from coefficients which maximize joint likelihood of our estimates; product of likelihoods of all n observations. Introduction to Maximum Likelihood Estimation (MLE) Eliason, S. A SAGE Publications book: Quantitative/Statistical Research, Maximum Likelihood Estimation: Logic and PracticeScott R.