Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics

Statistical basis for pharmacometrics: maximum likelihood estimator and its asymptotics

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 seriesNewton-Raphson methodMaximum 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
최경미임동석
발행일
2015
저널명
Translational and Clinical Pharmacology
23
1
페이지
8 ~ 14