An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.
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LESLIE GODFREY is Professor of Econometrics at the University of York, UK and a Fellow of the Journal of Econometrics. He has served on the editorial boards of Econometric Theory and Econometric Reviews. His articles have been published in leading journals, including Econometrica, Journal of Econometrics and Review of Economics and Statistics.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses. 329 pp. Englisch. N° de réf. du vendeur 9780230202313
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Etat : New. An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses. Series: Palgrave Texts in Econometrics. Num Pages: 342 pages, 1 black & white illustrations, biography. BIC Classification: KCHS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 216 x 138 x 20. Weight in Grams: 426. . 2009. Paperback. . . . . N° de réf. du vendeur V9780230202313
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