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Reza, If you are just asking why n-1 in the
formula commonly found in stat books for computing the sample variance s^2, it
is so that we have an unbiased estimate of the population variance – look
at a good calculus based probability and stat book. Other estimation methods (e.g., maximum
likelihood) divide by n instead of n-1. Oh, while the n-1 does make the sample
variance s^2 an unbiased estimate of the population variance sigma^2, taking
the square root and getting the sample standard deviation s does not result in
an unbiased estimated of the population standard deviation sigma. Another
reason some prefer m.l.e. Best, Bill -- William V Harper, Mathematical Sciences Office phone: 614-823-1417 Office Fax
614-823-3201 Faculty page: http://www.otterbein.edu/home/fac/WLLVHRPR For the best in geostatistics: http://geoecosse.hypermart.net/ From: Reza Nazarian
[mailto:[EMAIL PROTECTED] Dear Experts Reza Nazarian Schlumberger Information Solutions SONILS Oil Services Centre, Porto (Via * [EMAIL PROTECTED] http://www.sis.slb.com |
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