Stats Models :
******************

Following resources helps to understand practicality in Stats Models.

Resources:  
    * `Generalized Stats Models <https://www.statsmodels.org/stable/glm.html>`_
    * `Sampling Distribution Mean <http://onlinestatbook.com/2/sampling_distributions/samp_dist_mean.html>`_
    * `Scipy.stats <https://docs.scipy.org/doc/scipy/reference/stats.html>`_
    * `Think Stats book by Allen Downey <https://greenteapress.com/wp/think-stats-2e/>`_
    * `Stat Methods <https://www.statmethods.net/stats/power.html>`_
    * `Modern Statistics <http://web.stanford.edu/class/bios221/book/Chap-Mixtures.html>`_
    * `Blog on statistical Modeling <https://statisticalmodeling.wordpress.com/2011/06/14/an-example-of-a-mixture/>`_
    * `AB testing <https://www.evanmiller.org/ab-testing/>`_
        * `A/B tesing <https://vwo.com/ab-testing/>`_
    * `Sequential Probability ratio test <https://en.wikipedia.org/wiki/Sequential_probability_ratio_test>`_
    * `Simple sequential testing <https://www.evanmiller.org/sequential-ab-testing.html>`_
        * `Early Stopping <https://www.evanmiller.org/how-not-to-run-an-ab-test.html>`_


Others\Reading:
    * `Law of Total of Variance <https://en.wikipedia.org/wiki/Law_of_total_variance>`_ 
    * `Power of Stats <https://www.evanmiller.org/ab-testing/sample-size.html#!20;80;5;5;0>`_
    * Getting Cofindence Interval:
        * `Confidence interval for a median and other quantiles <https://www-users.york.ac.uk/~mb55/intro/cicent.htm>`_
            * `Stack exchange discussion <https://stats.stackexchange.com/questions/99829/how-to-obtain-a-confidence-interval-for-a-percentile>`_ 
    * `CLT on binomial <https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/BS704_Probability/BS704_Probability12.html#:~:text=Central%20Limit%20Theorem%20with%20a%20Dichotomous%20Outcome,-Now%20suppose%20we&text=The%20Central%20Limit%20Theorem%20applies,success%22%20on%20any%20given%20trial.>`_




Credits:
    `Udacity <www.udacity.com>`_