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Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics
Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics
- 최경미;
- 임동석
초록
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
키워드
Taylor series; Newton-Raphson method; Maximum Likelihood Estimator
- 제목
- Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics
- 제목 (타언어)
- Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics
- 저자
- 최경미; 임동석
- 발행일
- 2015
- 권
- 23
- 호
- 1
- 페이지
- 8 ~ 14