Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB / / Russell B. Millar.
"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the mos...
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Superior document: | Statistics in practice |
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TeilnehmendeR: | |
Year of Publication: | 2011 |
Language: | English |
Series: | Statistics in practice.
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Online Access: | |
Physical Description: | xvi, 357 p. :; ill. |
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Table of Contents:
- pt. 1. Preliminaries
- pt. 2. Pragmatics
- pt. 3. Theoretical foundations.