I am struggling with the analysis of my data. I am interested in hearing suggestions about how to improve that analysis.
I am performing an "Event Probability" study. I know the general "probability" of all possible events presented by my data. I have further scrutinized that data and calculated the probability of those same events given the occurrence of another event--a standard "conditional probability" analysis. After performing the "conditional probability" analysis, it is very clear which event is the most probable (let's call it the "Majority Event"). Typically, the "Majority Event" will have a probability of 35% whereas the remainder of events (let's call them "Minority Events") may have probability values of 15%, 13% etc.--which, in the end, is a hefty 65% of all other events in the aggregate.
Is there a way now, using some sort of "frequency analysis" formula or "distribution analysis" formula to determine "Likelihood" over and above probability.
2006-07-13
22:21:17
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5 answers
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asked by
brian_hahn_32
3
in
Mathematics