I need a way to shows me how the parameters of PDF, log-normal in this case, can be estimated based on a set with missing data points at the tail end of a sample.
For example, Consider we had 20 numbers with specified μ and σ, and then missed two largest number of them. How do we can estimate the mean (μ) and standard deviation (σ) of these 20 numbers with only 18 available numbers, if we know that all of them obey a log-normal distribution?! (this is obvious that these 2 missing numbers are in the tail end of log-normal distribution)
*Please don't present complex solutions
I want to code a program in Matlab to do this for me.
For example, Consider we had 20 numbers with specified μ and σ, and then missed two largest number of them. How do we can estimate the mean (μ) and standard deviation (σ) of these 20 numbers with only 18 available numbers, if we know that all of them obey a log-normal distribution?! (this is obvious that these 2 missing numbers are in the tail end of log-normal distribution)
*Please don't present complex solutions