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A Review of the Ministry of Children and Family Development s Accreditation Program Final Report Modelling, Evaluation and Analysis Branch September 2011 Contents Executive Summary iii 1. Introduction
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What is maximum likelihood estimation in?
Maximum likelihood estimation is a statistical method used to estimate the parameters of a probability distribution, assuming that the observed data is generated from that distribution.
Who is required to file maximum likelihood estimation in?
Anyone conducting statistical analysis and seeking parameter estimation using maximum likelihood estimation may utilize this method.
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To fill out maximum likelihood estimation, one needs to identify the probability distribution that best represents the data, define the likelihood function, and maximize it to estimate the parameters.
What is the purpose of maximum likelihood estimation in?
The purpose of maximum likelihood estimation is to obtain the most likely estimates for the unknown parameters of a probability distribution, based on the observed data.
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The information reported on maximum likelihood estimation includes the observed data, the probability distribution being used, the likelihood function, and the estimated parameters.
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