Maximum Likelihood Estimation with Stata, Fifth Edition, 5th Edition
$196.92
- Paperback
472 pages
- Release Date
23 November 2023
Summary
Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in all disciplines who wish to write maximum likelihood (ML) estimators in Stata. Beyond providing comprehensive coverage of Stata’s commands for writing ML estimators, the book presents an overview of the underpinnings of maximum likelihood and how to think about ML estimation.
The fifth edition includes a new second chapter that demonstrates the easy-to-use mlexp command. Thi…
Book Details
| ISBN-13: | 9781597184113 |
|---|---|
| ISBN-10: | 159718411X |
| Author: | Jeffrey Pitblado, Brian Poi, William Gould |
| Publisher: | Stata Press |
| Imprint: | Stata Press |
| Format: | Paperback |
| Number of Pages: | 472 |
| Edition: | 5th |
| Release Date: | 23 November 2023 |
| Weight: | 960g |
| Dimensions: | 241mm x 185mm |
About The Author
Jeffrey Pitblado
Jeff Pitblado is Executive Director, Statistical Software at StataCorp. Pitblado has played a leading role in the development of ml: he added the ability of ml to work with survey data, and he wrote the current implementation of ml in Mata.
Brian Poi previously worked as a developer at StataCorp and wrote many popular econometric estimators in Stata. Since then, he has applied his knowledge of econometrics and statistical programming in several areas, including macroeconomic forecasting, credit analytics, and bank stress testing.
William Gould is President Emeritus of StataCorp and headed the development of Stata for over 30 years. Gould is also the architect of Mata.
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