I am working on modelling a process that follows a normal distribution with the following specifications
If the processes output (parts) is too short (
< 17.55) or too long (
> 18.44) then that part becomes useless and is scraped. I can tweak the
This is my question:
- What might be different ways I can find the optimum
meanparameter such that given interval maximizes the proportion of parts satisfying the above condition
- Could there be a closed-form solution to this problem?