我们希望您对 GAMM 是否是一个不错的选择以及如何最好地实施以下内容提出意见：

在病人护理期间，护士会在他们的手上积累 $Y$ 的细菌菌落。在每次手接触（$n$）（表面积为$A$）与一个表面时，这个数字可能会增加她接触的东西（$V$）的百分比（$\lambda$ %）。然而，随着某些百分比（$\beta$ %）的细菌被去除，这也可能会降低。在他们完成护理环节后，他们可以用功效 $h$ 洗手。$Y$ colonies of bacteria on their hands. During every hand contact ($n$) (with surface area $A$) with a surface this number may increase a percentage ($\lambda$ %) of what she touches ($V$). However potentially this may also decrease as some percentage ($\beta$ %) of the bacteria are removed. After they finish the care episode, they may wash their hands with efficacy $h$.

因此模型依赖于 $Y=Y(n,A,V,\lambda,\beta,h)$$Y=Y(n,A,V,\lambda,\beta,h)$

我们认为：

$n$=empirical, different for every nurse, $h=lognormal~(1.5,0.1)$, $\lambda=\Gamma(15,3)$, $\beta=$empirical non-negative. $A=lognormal~(7,1.9)$ and $V$=empirical, $h=\Gamma(5.91,0.4)$.

我们想知道 GAM 拟合是否是估计 $Y$ 的合适方法。如果您需要进一步说明，请告诉我们。$Y$. Please let us know if you require further clarification.

问候，