附註:Includes bibliographical references (pages 315-316) and index.
Probability and measure -- Borel measurability, integration, and mathematical expectations -- Conditional expectations -- Distributions and transformations -- The multivariate normal distribution and its application to statistical inference -- Modes of convergence -- Dependent laws of large numbers and central limit theorems -- Maximum likelihood theory.
摘要:Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.
