What inspired this wish list request?
I was trying to model some data as a Rice distribution, which uses the Marcum Q function in the CDF.
What is the improvement you would like to see?
I would like if JMP supported the Marcum Q Function Qν(a,b)
Why is this idea important?
The Marcum Q function is used to describe the CDF of many statistical distributions, which would enable users to use the nonlinear platform to fit a much greater number of distributions beyond the ones currently supported in JMP.
The following distributions' CDFs can be modeled using the Q function
- Exponential
- Erlang
- Chi-squared
- Gamma
- Weibull
- Generalized gamma
- Noncentral chi-squared
- Rayleigh
- Maxwell-Boltzmann
- Chi
- Nakagami
- Rice
- Non-central chi