Informant statistics

The score function is a fundamental concept in statistical theory, derived from the derivative of the log-likelihood function with respect to the parameter of interest. Here's a concise summary:

In essence, the score function is crucial for both estimating parameters and conducting hypothesis tests, underpinning efficient statistical inference by leveraging the derivative of the log-likelihood to capture information about parameter sensitivity.