central-tendency 开源项目推荐（275 个）

rafi007akhtar /stapy

Python package containing functions implemented for descriptive and inferential statistics.

lpinzari /homogeneity-location-index

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.

ayushi-gajendra /spotify-audio-dna-descriptive-analysis

Strategic data analysis using descriptive statistics to identify popularity patterns in Spotify tracks. Features data-driven insights for playlist curation.

stdlib-js /stats-base-dmeanvarpn

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

stdlib-js /stats-base-dsnanmeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.

stdlib-js /stats-base-dsnanmeanors

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

stdlib-js /stats-iter-cumeanabs

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

stdlib-js /stats-base-snanmeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.

stdlib-js /stats-base-dsmean

Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

stdlib-js /stats-base-dnanmean

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.

stdlib-js /stats-base-smeanpn

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

stdlib-js /stats-incr-meanvar

Compute an arithmetic mean and unbiased sample variance incrementally.

stdlib-js /stats-base-dsmeanpn

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.

stdlib-js /stats-base-dmeanvar

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

stdlib-js /stats-base-dmeanstdevpn

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

stdlib-js /stats-base-dmeanlipw

Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.

stdlib-js /stats-base-dnanmeanpw

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

stdlib-js /stats-base-dmeanwd

Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.

stdlib-js /stats-iter-mmean

Create an iterator which iteratively computes a moving arithmetic mean.

stdlib-js /stats-base-dsmeanpw

Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.