Reverse engineer a discriminant function from an existing distribution
Budget: $250 – $750 USD
I'm looking for an independent statistician/mathematician who can derive a set of discriminant functions from an existing set of "prescriptive" distributions. The distribution consists of 125 rows and 26 columns.
Prior to creating the discriminant function, the existing data (which is a little messy) needs to be converted into a set of idealized curves.
I've attached a simplified example of a similar distribution.
If you have the skills for this task, please respond with specific questions about the project. I will not respond to anyone who sends a generic message.
Prior to creating the discriminant function, the existing data (which is a little messy) needs to be converted into a set of idealized curves.
I've attached a simplified example of a similar distribution.
If you have the skills for this task, please respond with specific questions about the project. I will not respond to anyone who sends a generic message.