Advanced Signal Processing
Asymptotic normality refers to the property of an estimator, particularly in the context of maximum likelihood estimation, where the distribution of the estimator approaches a normal distribution as the sample size increases. This concept is crucial because it allows statisticians to use normal approximations for inference about parameters, making hypothesis testing and confidence interval construction feasible with large datasets.
congrats on reading the definition of Asymptotic normality. now let's actually learn it.