Covers Maximum Likelihood Estimation in statistical inference, discussing MLE properties, examples, and uniqueness in exponential families.
Discusses parameter estimation, including checks, quality, distribution, and statistical properties of estimates.
Covers the estimation of distributions using various methods such as minimum loss and expectation.
Covers various methods for estimating model parameters, such as method of moments and maximum likelihood estimation.
Delves into maximum likelihood estimators, their properties, and asymptotic behavior, emphasizing consistency and asymptotic normality.
