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I found no way to rescue the cumulative f(x) as given. It must be reconstructed wrt scalar exp(x), ln(x) as indicated. Result above max ... otherwise can't calculate. Pure didactic for the unexpected red.   Integral 0Discrete Cumulative.sm (32kb) downloaded 23 time(s).
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Rank: Guest
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Joined: 04/07/2015(UTC) Posts: 6,866 Was thanked: 981 time(s) in 809 post(s)
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Originally Posted by: Jean Giraud  I found no way to rescue the cumulative f(x) as given.
It must be reconstructed wrt scalar exp(x), ln(x) as indicated.
Result above max ... otherwise can't calculate.
Pure didactic for the unexpected red. Here is the scalar reconstruction ... two same plots. Bad luck: native Smath Simpson integrator is inadequate. In any cases of integration, always wise to sanity cumulative integration from FD [Finite Differences]. The simplest FD in this forum has been tested exhaustively vs more advanced FD [F.B. Hildebrand] ... not to avail. Considering noisy data sets, unless you can declare the model fit function exact: FD will integrate the noisy data set very closely true, directly from the noisy set. Integral 0Discrete Cumulative [Simpson freak].sm (16kb) downloaded 26 time(s).
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 1 user thanked Jean Giraud for this useful post.
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