quasi-maximum likelihood

{\displaystyle {\boldsymbol {\beta }}} 通常會以最大概似估計量, 殆最大概似估計量（英语：quasi-maximum likelihood）, 或以貝氏方法來估計。 廣義線性模式包含了以下主要部份： 來自指數族的分佈函數 f {\displaystyle f} 。

supported by so many independent observations and results, that their likelihood of subsequently being found to be wrong is vanishingly small. Such conclusions