Construct the simultaneous confidence intervals for ratios of means of Log-normal populations with excess zeros. It also has a Python module that do the same thing, and can be applied to multiple comparisons of parameters of any k mixture distributions. And we provide four methods, the method based on generalized pivotal quantity with order statistics and the quantity based on Wilson by Li et al. (2009) <doi:10.1016/j.spl.2009.03.004> (FGW), and the methods based on generalized pivotal quantity with order statistics and the quantity based on Hannig (2009) <doi:10.1093/biomet/asp050> (FGH). The other two methods are based on two-step MOVER intervals by Amany H, Abdel K (2015) <doi:10.1080/03610918.2013.767911>. We deduce Fiducial generalized pivotal two-step MOVER intervals based on Wilson quantity (MOVERW) and based on Hannig's quantity (MOVERH). All these approach you can find in the paper of us which it has been submitted.
|Author||Jing Xu, Xinmin Li, Hua Liang|
|Maintainer||Jing Xu <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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