Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics
The maximum likelihood estimator is the point estimator of the top priority in statistical data analysis because of its optimum properties for large sample size. While the maximum likelihood estimator is widely used, it has been an abstruse subject for pharmacometricians without statitics bagkround...
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| Published in | Translational and clinical pharmacology Vol. 23; no. 1; pp. 8 - 14 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
대한임상약리학회
2015
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2289-0882 2383-5427 2383-5427 |
| DOI | 10.12793/tcp.2015.23.1.8 |
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| Summary: | The maximum likelihood estimator is the point estimator of the top priority in statistical data analysis because of its optimum properties for large sample size. While the maximum likelihood estimator is widely used, it has been an abstruse subject for pharmacometricians without statitics bagkround because of high dimensional calculus and asymptotic theories. This tutorial provides a general and brief introduction to the maximum likelihood estimator and its related caluculus for non-statisticians KCI Citation Count: 1 |
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| Bibliography: | G704-002229.2015.23.1.003 |
| ISSN: | 2289-0882 2383-5427 2383-5427 |
| DOI: | 10.12793/tcp.2015.23.1.8 |