Statsmodels is a Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
numpy.average() has a weights option, but numpy.std() does not. Does anyone have suggestions for a workaround?
python numpy statsmodels standard-deviation weightedIt seems scipy once provided a function mad to calculate the mean absolute deviation for a set of numbers: http://…
python scipy statsmodelsHere is what I am doing: $ python Python 2.7.6 (v2.7.6:3a1db0d2747e, Nov 10 2013, 00:42:54) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on …
python pandas linear-regression statsmodelsI have a DataFrame with a few time series: divida movav12 var varmovav12 Date 2004-01 0 NaN NaN NaN 2004-02 0 NaN …
python pandas machine-learning time-series statsmodelsresult = sm.OLS(gold_lookback, silver_lookback ).fit() After I get the result, how can I get the coefficient and …
python pandas linear-regression statsmodelsI calculated a model using OLS (multiple linear regression). I divided my data to train and test (half each), and …
python pandas linear-regression statsmodelsI want to evaluate the residuals: (y-hat y). I know how to do that: df = pd.read_csv('myFile', delim_…
python pandas statsmodels patsyI have time-series data, as followed: emplvl date 2003-01-01 10955.000000 2003-04-01 11090.333333 2003-07-01 11157.000000 2003-10-01 11335.666667 2004-01-01 11045.000000 2004-04-01 11175.666667 2004…
python pandas matplotlib machine-learning statsmodelsProblem Statement: I have some nice data in a pandas dataframe. I'd like to run simple linear regression on it: …
pandas matplotlib statsmodelsI'm calculating the Autocorrelation Function for a stock's returns. To do so I tested two functions, the autocorr function built …
python pandas statsmodels