Can I read Maximum Likelihood Estimation with Stata, Fourth Edition on EtoBox?

Maximum Likelihood Estimation with Stata, Fourth Edition by William W Gould; Jeffrey Pitblado; Brian Poi is a nonfiction available to read on EtoBox.

What is Maximum Likelihood Estimation with Stata, Fourth Edition about?

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum likelihood estimators that are not available as prepackaged routines. Readers are presumed to be familiar with Stata, but no special programming skills are assumed except in the last few chapters, which detail how to add a new estimation command to Stata. The book begins with an introduction to the theory of maximum likelihood estimation with particular attention on the practical implications for applied work. Individual chapters then describe in detail each of the four types of likelihood evaluator programs and provide numerous examples, such as logit and probit regression, Weibull regression, random-effects linear regression, and the Cox proportional hazards model. Later chapters and appendixes provide additional details about the ml command, provide checklists to follow when writing evaluators, and show how to write your own estimation commands.

Who reads Maximum Likelihood Estimation with Stata, Fourth Edition?

Author

William W Gould; Jeffrey Pitblado; Brian Poi

Publisher

A Stata Press Publication

Published

2010

Language

EN

ISBN

9781597180788

Category

nonfiction

Subjects

Mathematics, Science, Computer Science