Introduction to the Mathematical and Statistical Foundations of Econometrics

Language: English

Published by Cambridge University Press, GB, 2004

0521542243 / 9780521542241

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This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It 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, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained.

Seller Inventory # LU-9780521542241

Title
Introduction to the Mathematical and Statistical Foundations of Econometrics
Author
Herman J. Bierens
Publisher
Cambridge University Press, GB
Publication year
2004
Condition
New
Binding
Paperback
Language
English
ISBN 10
0521542243
ISBN 13
9780521542241
Item weight
510 grams

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