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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
kurtosis This page discusses the concept of kurtosis. It provides detailed insights on its functioning, importance, and usage with the help of Python code.
kurtosis
probability distribution
tailedness
real-valued random variable
shape
theoretical distribution
population sample
Python code
parameters
n_window
window length

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Like skewness, kurtosis describes the shape of a probability distribution and there are different ways of quantifying it for a theoretical distribution and corresponding ways of estimating it from a sample from a population. Different measures of kurtosis may have different interpretations.

Usage

kurtosis [-w N_WINDOW]

Parameters

Name Description Default Optional Choices
n_window window length 14 True range(5, 100)

kurtosis