Written by the creators of Stata's likelihood maximization features, Maximum Likelihood Estimation with Stata, Third Edition continues the pioneering work of the previous editions. Emphasizing practical implications for applied work, the first chapter provides an overview of maximum likelihood estimation theory and numerical optimization methods. With step-by-step instructions, the next several chapters detail the use of Stata to maximize user-written likelihood functions. Various examples include logit, probit, linear, Weibull, and random-effects linear regression as well as the Cox proportional hazards model. The final chapters describe how to add a new estimation command to Stata. Assuming a familiarity with Stata, this reference is ideal for researchers who need to maximize their own likelihood functions.
New ml commands and their functions:
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Emphasizing practical implications for applied work, this title provides an overview of maximum likelihood estimation theory and numerical optimization methods. It details the use of Stata to maximize user-written likelihood functions. It is useful for researchers who need to maximize their own likelihood functions.
"About this title" may belong to another edition of this title.
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Softcover. Condition: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # G-600-554