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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Maximum Likelihood Estimation - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Q4dJrDMLBh"&gt;&lt;a href="https://glosarix.com/en/glossary/maximum-likelihood-estimation-en/"&gt;Maximum Likelihood Estimation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/maximum-likelihood-estimation-en/embed/#?secret=Q4dJrDMLBh" width="600" height="338" title="&#x201C;Maximum Likelihood Estimation&#x201D; &#x2014; Glosarix" data-secret="Q4dJrDMLBh" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a model based on a set of observed data. Its fundamental principle lies in finding the parameter values that maximize the likelihood function, which measures the probability of observing the data given the model parameters. This approach is particularly valuable [&hellip;]</description></oembed>
