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Book Categories |
| Preface | ||
| Ch. 1 | Probability | 3 |
| Ch. 2 | Random Variables and Expectation | 45 |
| Ch. 3 | Distributions, Transformations, and Moments | 79 |
| Ch. 4 | Convergence Concepts | 127 |
| Ch. 5 | Statistical Inference | 147 |
| Appendix: Distributions | 189 | |
| References | 197 | |
| Index | 199 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Mark Gall
reviewed An Introduction to Econometric Theory: Measure-Theoretic Probability and Statistics with Applications to Economics on July 13, 2007
An Introduction to Econometric Theory: Measure-Theoretic Probability and Statistics with Applications to Economics
Excellent introduction to not only time series but also contains good information on stochastic calculus and statistical concepts. The author is adept at communicating the ideas and the mathematics clearly and logically. I'm looking forward to trying out the R programs included in the book.
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Add 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 stat, An Introduction to Econometric Theory: Measure-Theoretic Probability and Statistics with Applications to Economics to the inventory that you are selling on WonderClubX
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Add 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 stat, An Introduction to Econometric Theory: Measure-Theoretic Probability and Statistics with Applications to Economics to your collection on WonderClub |
