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One of the most common methods for estimating the parameters of a distribution from data, the method of [[maximum likelihood]] (MLE), can break down in various cases, such as involving certain mixtures of continuous distributions.<ref name = "R84">{{harvtxt|Ranneby|1984}}</ref> In these cases the method of maximum spacing estimation may be successful.
Apart from its use in pure mathematics and statistics, the trial applications of the method have been reported using data from fields such as [[hydrology]],<ref>{{harvtxt|Hall|al.|2004}}</ref> [[econometrics]],<ref>{{harvtxt|Anatolyev|Kosenok|2004}}</ref> [[magnetic resonance imaging]],<ref>{{harvtxt|Pieciak|2014}}</ref>and others.<ref>{{harvtxt|Wong|Li|2006}}</ref>
==History and usage==
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| pages = 1743-1747
| ___location = Paris
| ref = CITEREFTomaszPieciak2014
}}
{{refend}}
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