Hi everyone,
my name is luca.
My question is about a practical problem that might have a simple solution that I cannot manage to figure out:
I am considering a data set as a result of an experiment. Each trial associates an integer to 2 random variables (say x and y).
So i can build a table like the following:
the first column represents the possible values assumed by x and the first row represents the possible values assumed by y.
The other cells represent the occurrency of the couple, e.g. (1,3)occurs only once and (3,3) occurs 5 times.
My question is how to recognise what kind of distribution might look like and eventually how to compute the parameters of such distribution if I don't know anything about the experiment (or I don't know if and how x and y are correlated).
I hope someone can help on that
my name is luca.
My question is about a practical problem that might have a simple solution that I cannot manage to figure out:
I am considering a data set as a result of an experiment. Each trial associates an integer to 2 random variables (say x and y).
So i can build a table like the following:
| 1 | 2 | 3 | 4 | 5 | |
| 1 | 0 | 0 | 1 | 1 | 0 |
| 2 | 1 | 0 | 2 | 3 | 0 |
| 3 | 1 | 2 | 5 | 4 | 1 |
| 4 | 2 | 3 | 3 | 4 | 0 |
| 5 | 1 | 0 | 1 | 2 | 0 |
the first column represents the possible values assumed by x and the first row represents the possible values assumed by y.
The other cells represent the occurrency of the couple, e.g. (1,3)occurs only once and (3,3) occurs 5 times.
My question is how to recognise what kind of distribution might look like and eventually how to compute the parameters of such distribution if I don't know anything about the experiment (or I don't know if and how x and y are correlated).
I hope someone can help on that
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