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An introduction to econometric theory : measure-theoretic probability and statistics with applications to economics /
Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A Ronald Gallant covers these topics...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton, N.J. :
Princeton University Press,
1997.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Gallant, A. Ronald, |d 1942- | |
| 245 | 1 | 3 | |a An introduction to econometric theory : |b measure-theoretic probability and statistics with applications to economics / |c A. Ronald Gallant. |
| 264 | 1 | |a Princeton, N.J. : |b Princeton University Press, |c 1997. | |
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| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Ch. 1. Probability -- Ch. 2. Random Variables and Expectation -- Ch. 3. Distributions, Transformations, and Moments -- Ch. 4. Convergence Concepts -- Ch. 5. Statistical Inference. | |
| 520 | |a Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A Ronald Gallant covers these topics at an introductory level and develops the ideas to the point where they can be applied. He thereby provides the reader not only with a basic grasp of the key empirical tools but with sound intuition as well. | ||
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