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Published by Cambridge University Press, 2001
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Published by Cambridge University Press, 2001
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Published by Cambridge University Press, 2014
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 472 | Sprache: Englisch | Produktart: Bücher | This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling.
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Published by Cambridge University Press, Cambridge, 2001
ISBN 10: 052166246X ISBN 13: 9780521662468
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Hardcover. Condition: new. Hardcover. This collection brings together important contributions by leading econometricians on parametric approaches to qualitative and sample selection models, nonparametric and semi-parametric approaches to qualitative and sample selection models, and nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research. The collection of papers is dedicated to Professor Takeshi Amemiya in view of his path-breaking contributions to econometrics and statistics. This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, Cambridge, 2001
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Hardcover. Condition: new. Hardcover. This collection brings together important contributions by leading econometricians on parametric approaches to qualitative and sample selection models, nonparametric and semi-parametric approaches to qualitative and sample selection models, and nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research. The collection of papers is dedicated to Professor Takeshi Amemiya in view of his path-breaking contributions to econometrics and statistics. This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Cambridge University Press, 2014
ISBN 10: 052166246X ISBN 13: 9780521662468
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This collection brings together important contributions by leading econometricians on (i) parametric approaches to qualitative and sample selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (ii.
Language: English
Published by Cambridge University Press, Cambridge, 2001
ISBN 10: 052166246X ISBN 13: 9780521662468
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Hardcover. Condition: new. Hardcover. This collection brings together important contributions by leading econometricians on parametric approaches to qualitative and sample selection models, nonparametric and semi-parametric approaches to qualitative and sample selection models, and nonlinear estimation of cross-sectional and time series models. The advances achieved here can have important bearing on the choice of methods and analytical techniques in applied research. The collection of papers is dedicated to Professor Takeshi Amemiya in view of his path-breaking contributions to econometrics and statistics. This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Cambridge University Press, 2014
ISBN 10: 052166246X ISBN 13: 9780521662468
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Buch. Condition: Neu. Nonlinear Statistical Modeling | Cheng Hsiao (u. a.) | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9780521662468 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.