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The maximum likelihood estimate is defined as the parameter value that corresponds to the peak (maximum) of the likelihood curve. It is the value of the parameter that gives the highest likelihood for the observed data.
Conditions: A likelihood function over candidate parameter values is available.; The data are fixed.
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The maximum likelihood estimate is defined as the parameter value that corresponds to the peak (maximum) of the likelihood curve. It is the value of the parameter that gives the highest likelihood for the observed data.
Conditions: A likelihood function over candidate parameter values is available.; The data are fixed.
2:27 – 3:01Watch this moment ↗