Hi,
I have a matrix of 24x15500 (time x no.of occurrences of an event). The number of occurrences is in the form of binary (0/1). I took the percentage of occurrence for each time, so I ended up getting the following 24x1 matrix.
1
0.999935612645676
1
0.994913399008435
0.973150473247054
0.901873672010817
0.763827184340995
0.495331916811538
0.388964007468933
0.325478076105853
0.314596613225163
0.348657523662353
0.355160646449037
0.373317880368296
0.433841993432490
0.553022986285494
0.718498486897173
0.820230506728479
0.856287425149701
0.888931813791771
0.924924344858670
0.953190393406735
0.974631382396497
1
Based on the above data, I have plotted the following curve;
The xaxis is time (t) and yaxis is the percentage of occurrence of an event (P).
If I would find a function (by curve fitting), for P(t), can this be called a probability density/mass function.
OR otherwise, how can I find the best fit (pdf/pmf) for my data?
I have a matrix of 24x15500 (time x no.of occurrences of an event). The number of occurrences is in the form of binary (0/1). I took the percentage of occurrence for each time, so I ended up getting the following 24x1 matrix.
1
0.999935612645676
1
0.994913399008435
0.973150473247054
0.901873672010817
0.763827184340995
0.495331916811538
0.388964007468933
0.325478076105853
0.314596613225163
0.348657523662353
0.355160646449037
0.373317880368296
0.433841993432490
0.553022986285494
0.718498486897173
0.820230506728479
0.856287425149701
0.888931813791771
0.924924344858670
0.953190393406735
0.974631382396497
1
Based on the above data, I have plotted the following curve;
The xaxis is time (t) and yaxis is the percentage of occurrence of an event (P).
If I would find a function (by curve fitting), for P(t), can this be called a probability density/mass function.
OR otherwise, how can I find the best fit (pdf/pmf) for my data?
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