Articoli correlati a Handbook of Computational Econometrics
Sinossi
Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations.
This book:
- Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies.
- Brings together contributions from leading researchers.
- Develops the techniques needed to carry out computational econometrics.
- Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation.
This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Erricos Kontoghiorghes is Associate Professor at the School of Economics and Management in Nicosia, Cyprus, and holds a visiting professorship at Birkbeck College since 2003. He has authored and edited seven books. He is a Co-Editor of the journal Computational Statistics & Data Analysis, Associate Editor of the journal Computational Management Science (Springer), and was Editor-in-Chief of the Handbook Series of Computing and Statistics with Applications.
Professor David Besley is Professor at the Department of Economics Boston College, USA. He has written many articles and holds editorial positions for several journals including Computational Economics and is the Associate Editor for Econometrics, Computational Statistics and Data Analysis and International Journal of Forecasting.
Dalla quarta di copertina
Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations.
This book:
- Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies.
- Brings together contributions from leading researchers.
- Develops the techniques needed to carry out computational econometrics.
- Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation.
This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.
Dal risvolto di copertina interno
Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations.
This book:
* Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies.
* Brings together contributions from leading researchers.
* Develops the techniques needed to carry out computational econometrics.
* Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation.
This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Handbook of Computational Econometrics
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780470743850. Codice articolo 4323227
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