1111
1212# Gauss
1313
14- Library for the Gauss probability math. (Normal Distribution).
14+ Library for the Gauss probability math. (Normal Distribution, Gaussian distribution ).
1515
1616
1717## Description
@@ -25,9 +25,9 @@ These under the premises of a **Gaussian distribution** with parameters **mean**
2525If these parameters are not given, mean == 0 and stddev == 1 are used by default.
2626This is the normalized Gaussian distribution.
2727
28+ - Version 0.1.x used the ** MultiMap** library need to be downloaded too (see related below).
2829The values of the functions are approximated with a ** MultiMap()** based lookup
2930using a 34 points interpolated lookup.
30- - Version 0.1.x used the ** MultiMap** library need to be downloaded too (see related below).
3131- Version 0.2.0 and above embeds an optimized version, so no need to use ** MultiMap** .
3232
3333Note: The number of lookup points might chance in the future, keeping a balance between
@@ -61,7 +61,7 @@ Note: 0.1.0 was 32 points 4 decimals. Need to investigate reduction of points.
6161- use as a filter e.g. detect above N1 sigma and under N2 sigma
6262- compare historic data to current data e.g. temperature.
6363 - transforming to sigma makes it scale C / F / K independent.
64- - fill a bag (etc) until a certain weight is reached (+- N sigma)
64+ - fill a bag (etc. ) until a certain weight is reached (+- N sigma)
6565- compare population data with individual, e.g. Body Mass Index (BMI).
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6767
@@ -131,7 +131,7 @@ E.g if mean == 50 and stddev == 14, then 71 ==> +1.5 sigma.
131131Is equal to number of ** stddevs()** .
132132- ** float denormalize(float f)** reverses normalize().
133133What value would have a deviation of 1.73 stddev.
134- - ** float stddevs(float f)** returns the number of stddevs from the mean.
134+ - ** float stddevs(float f)** returns the number of stddev's from the mean.
135135Identical to ** normalize()** .
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137137
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