search for: stdeviation

..., as the number of observations increases variance will fall. In particular, for 30,000 observations, the StDev is calculated as follows: SQRT(0.2/365)/SQRT(30000) = 0.0001351474 = {1 STDEV} The average of the values in the table above, 0.23, is [(0.23/365) - (0.14/365)]/0.0001351474 = 1.824 StDeviations above the mean. As you can see Most of the 20 sets had realized values about 2-3 StDeviations higher than the mean. Something is wrong. Thank you for considering this bug report.

...ackage 'samp' version '0.1-1' * checking package dependencies ... OK * checking if this is a source package ... ERROR Only *source* packages can be checked. Here is what my file structure looks like: .: DESCRIPTION man R ./man: bootstrap.rd hessian.rd loglikelihood.rd stdeviation6.rd freq.rd ks.rd score6.rd stdeviation.rd hessian6.rd loglikelihood6.rd score.rd ./R: bootsample.r hessian6.r loglikelihood6.r score6.r stdeviation.r firstlib.r hessian.r loglikelihood.r score.r freq.r ks.r Prob.r stdeviation...