Introduction to the mathematical and statistical foundations of econometrics /
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...
Saved in:
| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, UK ; New York :
Cambridge University Press,
2005.
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| Series: | Themes in modern econometrics.
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| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 245 | 1 | 0 | |a Introduction to the mathematical and statistical foundations of econometrics / |c Herman J. Bierens. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2005. | ||
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| 505 | 0 | |a 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. | |
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| 520 | |a 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. | ||
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