Python package containing functions implemented for descriptive and inferential statistics.
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Updated
Sep 21, 2021 - Python
Python package containing functions implemented for descriptive and inferential statistics.
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
Calculate the mean and variance of a double-precision floating-point strided array.
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
Compute a moving geometric mean incrementally.
Basic Statistic operations using R language
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.
Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
Create an iterator which iteratively computes a moving arithmetic mean.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
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