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.

Basic Statistic operations using R language

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.

Compute a moving geometric mean incrementally.

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.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the mean and variance of a double-precision floating-point strided array.

Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.

Business Analyst Portfolio

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.

Computation of mean, median, and mode of a set of rotations (quaternions)

Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.

Compute a geometric mean incrementally.