The book presents a statistical theory for a class of nonlinear time-series models. It will be of interest to econometricians and statisticians.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Andrew Harvey is Professor of Econometrics at the University of Cambridge and a Fellow of Corpus Christi College. He is a Fellow of the Econometric Society and of the British Academy. He has published more than one hundred articles in journals and edited volumes and is the author of three books, The Econometric Analysis of Time Series, Time Series Models, and Forecasting and Structural Time Series Models and the Kalman Filter (Cambridge University Press, 1989). He is one of the developers of the STAMP computer package.
Inhaltsangabe
1. Introduction 2. Statistical distributions and asymptotic theory 3. Location 4. Scale 5. Location/scale models for non-negative variables 6. Dynamic kernel density estimation and time-varying quantiles 7. Multivariate models, correlation and association 8. Conclusions and further directions.
1. Introduction; 2. Statistical distributions and asymptotic theory; 3. Location; 4. Scale; 5. Location/scale models for non-negative variables; 6. Dynamic kernel density estimation and time-varying quantiles; 7. Multivariate models, correlation and association; 8. Conclusions and further directions.
1. Introduction 2. Statistical distributions and asymptotic theory 3. Location 4. Scale 5. Location/scale models for non-negative variables 6. Dynamic kernel density estimation and time-varying quantiles 7. Multivariate models, correlation and association 8. Conclusions and further directions.
1. Introduction; 2. Statistical distributions and asymptotic theory; 3. Location; 4. Scale; 5. Location/scale models for non-negative variables; 6. Dynamic kernel density estimation and time-varying quantiles; 7. Multivariate models, correlation and association; 8. Conclusions and further directions.
Rezensionen
'It offers a comprehensive view of DCS models and is self-contained in that it includes the necessary statistical theory for understanding and applying them. Empirical examples help the reader appreciate the potential of these models.' Journal of Economic Literature
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