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In a three-category model, the maximum-likelihood estimate for each probability is its observed count divided by the sample size. These estimates sum to one and respect the probability constraints.
Conditions: The model has three categories.; The estimates are derived using maximum likelihood.; The observed counts and sample size are known.
1:30 – 10:30Watch this moment ↗
In a three-category model, the maximum-likelihood estimate for each probability is its observed count divided by the sample size. These estimates sum to one and respect the probability constraints.
Conditions: The model has three categories.; The estimates are derived using maximum likelihood.; The observed counts and sample size are known.
1:30 – 10:30Watch this moment ↗