Trimmed and Winsorized Means

Install and import#

bash

npm install fintech-algorithms

import { trimmedAndWinsorizedMeans } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/location-ranking-and-exploratory-summaries/trimmed-and-winsorized-means";

Signature#

trimmedAndWinsorizedMeans(input)

Worked example#

verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.

Input#

input

{
  "values": [1, 2, 2, 4, 9],
  "weights": [1, 1, 2, 1, 1],
  "trimProportion": 0.2,
  "bins": 4
}

Call#

trimmedAndWinsorizedMeans(input)

Returns#

object with 2 fields: trimmedMean, winsorizedMean

{
  "trimmedMean": 2.6666666666666665,
  "winsorizedMean": 2.8
}

Diagrams#

How it works#

This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.

Read the article →

References#

Measures of Location
Historical-example decision