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python Programming Glossary: likelihoodDjango and Bootstrap: What app is recommended? [closed] http://stackoverflow.com/questions/11821116/django-and-bootstrap-what-app-is-recommended to pick one which has some momentum and therefore a good likelihood of staying supported and maintained for a while. This is very..
What possible values does datetime.strptime() accept for %Z? http://stackoverflow.com/questions/1302701/what-possible-values-does-datetime-strptime-accept-for-z
Python: Random is barely random at all? http://stackoverflow.com/questions/2145510/python-random-is-barely-random-at-all The effect of the Birthday Paradox is that the real likelihood of getting such duplicates is quite significant and the average.. the 'no repeats' condition so you can expect a significant likelihood of repeats. Some algorithms such as the linear congruential..
http://stackoverflow.com/questions/2489299/will-python-3-ever-catch-on of Python 3 . To back this up I was about to mention the likelihood that Unladen Swallow be only ported to Py3k only providing some..
What's the difference between scgi and wsgi? http://stackoverflow.com/questions/257481/whats-the-difference-between-scgi-and-wsgi faster than an Apache mod_scgi SCGI wrapper lib but in all likelihood it's not going to be hugely different. More valuable is the..
Fitting data to distributions? http://stackoverflow.com/questions/4290081/fitting-data-to-distributions for the estimates. Mathematically this is using maximum likelihood to estimate both the mean and standard deviation of the Gaussian... of data given values of the parameters. Maximum likelihood means the values of the parameters that maximize the probability.. the probability of generating my input data. Maximum likelihood estimation is the algorithm for finding the values of the parameters..
Counting collisions in a Python dictionary http://stackoverflow.com/questions/4865325/counting-collisions-in-a-python-dictionary into the calculation of where the next probe will be. The likelihood of a 3rd etc probe being needed should be rather small especially..
Python Multiple Linear Regression using OLS code with specific data? http://stackoverflow.com/questions/7458391/python-multiple-linear-regression-using-ols-code-with-specific-data JB JBpv skew kurtosis def ll self Calculate model log likelihood and two information criteria # Model log likelihood AIC and.. log likelihood and two information criteria # Model log likelihood AIC and BIC criterion values ll self.nobs 1 2 1 log 2 pi self.nobs.. statistic 5.6f JB stat 5.6f' tuple self.Fpv JB print 'Log likelihood 5.6f Prob JB 5.6f' tuple ll JBpv print 'AIC criterion 5.6f Skew..
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