New study reveals foolproof method for maximizing likelihood in data analysis
The article shows that for the multinomial distribution, the maximum likelihood estimate is a root of the likelihood equation and provides the highest likelihood when the parameter is within the roots. The researchers prove that the estimate is consistent and unique under certain conditions, establishing a complete theory for this method in the one-parameter case.