yangltao 总体分布是Nakagami分布,实验中得到一个样本是不完整的,由于某种原因存在数据丢失,数据丢失做两种方法处理:1)数据小于某一定值,丢失数据;2)丢失数据是随机的,其分布是不确定的。请问:分别在这两种处理方法下,,怎么根据这个不完整的样本估计出Nakagami分布的参数?谢谢!
rtist Case one, give a model to take into account the left censoring. Likelihood based models are usually easier. Case two, usual missing data analysis methods. There is a translated book available in Chinese.