Title: KARL PEARSON'S CHI‐SQUARED GOODNESS‐OF‐FIT TEST
Abstract: Karl Pearson's first encounter with the issue of goodness of fit seems to have occurred in 1892. In 1895, Pearson proposed the mean percentage error in the ordinates of a frequency polygon as a measure of goodness of fit. Pearson was the first to have explicitly stated the multivariate normal distribution in its general form. This fact played a key role in Pearson's formulation of his goodness-of-fit test in the groundbreaking 1900 paper entitled On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. This chapter outlines the work on the chi-squared distribution prior to Pearson. Until the 1960s, the chi-squared distribution had been attributed to Friedrich Robert Helmert, until the prior works of Irenee-Jules Bienayme and Ernst Abbe were rediscovered.
Publication Year: 2016
Publication Date: 2016-03-17
Language: en
Type: other
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot