Calculating chi-squared test statistics for weighted histograms
type: CreativeWork
description: A goodness of fit test statistic, in particular the chi-squared test, is commonly used to confirm whether histograms differ from a theoretical distribution. The chi-squared test is also often used to compare two histograms, such as histograms produced by experiments and simulations. This report describes the implementation of two such test statistics for weighted histograms, as well as suggests improvements to the current implementation.
abstract: A goodness of fit test statistic, in particular the chi-squared test, is commonly used to confirm whether histograms differ from a theoretical distribution. The chi-squared test is also often used to compare two histograms, such as histograms produced by experiments and simulations. This report describes the implementation of two such test statistics for weighted histograms, as well as suggests improvements to the current implementation.
author: Helgi Halldórsson 1994-
language: en
keywords: Tölvunarfræði
date published: 2018-05-11T14:34:41Z
date modified: 2026-07-27T21:39:12Z
provider: University of Iceland
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Iceland

PropertyValue
property ID: Handle
value: http://hdl.handle.net/1946/30285