New version of statistical analysis tool, Removes some limitations, normality assumption Options

[Garf]

Some time ago I needed an analysis of some test results and tried to use the bootstrap utility we have used for the listening tests. Unfortunately, the results coming out were bogus. I traced it down to an obscure 64-bit compatibility issue, but going through the code some things bothered me. ff123 improved my initial version significantly, but one of the things that was done was to use a normal distribution approximation for test statistics. If you consider the original version of the utility was exactly written to avoid any assumptions about normality, that's a bit sad.

So I ended up rewriting the whole thing and fixing all outstanding issues. The new version:

• Works correctly on 64-bit systems
• Removed all arbitrary limitations of number of samples, codecs, ...
• p-values are estimated through Monte Carlo resampling instead of normal distribution approximation
• Blocked and non-blocked analysis fully supported
• Comparison based on median instead of means supported
• Possible to (only) compare all samples against the first one
• Much slower because it's in Python (v2.5+ required)

This is new so it might still contain some bugs. Any feedback appreciated.

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