Add new option "M" in TH1::KolmogorovTest //         "X" Run the pseudo experiments post-processor with the following procedure: //             make pseudoexperiments based on random values from the parent //             distribution and compare the KS distance of the pseudoexperiment //             to the parent distribution. Bin the KS distances in a histogram, //             and then take the integral of all the KS values above the value //             obtained from the original data to Monte Carlo distribution. //             The number of pseudo-experiments NEXPT is currently fixed at 1000. //             The function returns the integral. //             (thanks to Ben Kilminster to submit this procedure). Note that //             this option "X" is much slower.
Add new option "M" in TH1::KolmogorovTest
//         "X" Run the pseudo experiments post-processor with the following procedure:
//             make pseudoexperiments based on random values from the parent
//             distribution and compare the KS distance of the pseudoexperiment
//             to the parent distribution. Bin the KS distances in a histogram,
//             and then take the integral of all the KS values above the value
//             obtained from the original data to Monte Carlo distribution.
//             The number of pseudo-experiments NEXPT is currently fixed at 1000.
//             The function returns the integral.
//             (thanks to Ben Kilminster to submit this procedure). Note that
//             this option "X" is much slower.


git-svn-id: ecbadac9c76e8cf640a0bca86f6bd796c98521e3@5791 27541ba8-7e3a-0410-8455-c3a389f83636

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