|Perl: the Markov chain saw|
Re^4: [OT] Statistics question.by BrowserUk (Pope)
|on Jan 30, 2013 at 14:42 UTC||Need Help??|
Update: I like the idea of knowing the standard deviation, ...
For this problem -- testing a sparse bitvector implementation -- moritz' simplified calculation appears to be 'good enough' for my purpose. I'm not capable of assessing how applicable it would be to the math you came up with for my multi-vector hashing (ie. weird bloom filter) project.
However, there is one way that these two projects may become connected. In that, if my sparse bitvector implementation proves to be sufficiently speedy, I may recode the multi-vector hashing algorithm to use it because: a) it would great;y reduce the memory requirement; b) it would opne up the possibility of increasing the discrimination by using more than 10 vectors. (But that's a project for another day :)
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