Before you do statistical analysis, you must have a theoretical foundation as to what works and what doesn't. For example, if your equations predict that a western with a comical sidekick would do better than a western with a non-comical sidekick, you must have an explanation of why that is so. Without that foundation as to what should work and what shouldn't, you are just going through the motions.
As I said, I knew, through a mutual contact, of a student startup in Canada that was using statistics, but, when I asked for that theoretical foundation, I received no answer. And no answer is an answer.
Most respectfully, do you have a basis for saying what works and what doesn't?
As I said, I knew, through a mutual contact, of a student startup in Canada that was using statistics, but, when I asked for that theoretical foundation, I received no answer. And no answer is an answer.
Most respectfully, do you have a basis for saying what works and what doesn't?