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Showing posts with the label Statistics
Computing Autocorrelation Of Vectors With Numpy

Computing Autocorrelation Of Vectors With Numpy

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I'm struggling to come up with a non-obfuscating, efficient way of using numpy to compute a sel… Read more Computing Autocorrelation Of Vectors With Numpy
Mean, Median, And Mode Of A List Of Values (score) Given A Certain Zip Code For Every Year

Mean, Median, And Mode Of A List Of Values (score) Given A Certain Zip Code For Every Year

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I want to find the mean, median and mode value for each year given a specific ZIP code how can I ac… Read more Mean, Median, And Mode Of A List Of Values (score) Given A Certain Zip Code For Every Year
Fitting Data To A Probability Distribution, Maybe Skew Normal?

Fitting Data To A Probability Distribution, Maybe Skew Normal?

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I am trying to fit my data to some kind of a probability distribution, so I can then generate rando… Read more Fitting Data To A Probability Distribution, Maybe Skew Normal?
Python Distribution Fitting With Sum Of Square Error (sse)

Python Distribution Fitting With Sum Of Square Error (sse)

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I am trying to find an optimal distribution curve fit to my data consisting of y-axis = [0, 0, 0, … Read more Python Distribution Fitting With Sum Of Square Error (sse)
Is My Python Implementation Of The Davies-bouldin Index Correct?

Is My Python Implementation Of The Davies-bouldin Index Correct?

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I'm trying to calculate the Davies-Bouldin Index in Python. Here are the steps the code below … Read more Is My Python Implementation Of The Davies-bouldin Index Correct?
Interpreting Scipy.stats.entropy Values

Interpreting Scipy.stats.entropy Values

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I am trying to use scipy.stats.entropy to estimate the Kullback–Leibler (KL) divergence between two… Read more Interpreting Scipy.stats.entropy Values