Proietti c (33 resultados)

Paperback. Condición: Very Good. Unmarked trade paperback.

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condición: Very Good. Text is unmarked; pages are bright. Binding is tight and square. Covers show just a little light wear around the corners. 458pp.

Hardcover. First ition edition. New/New (31282) . New book in a new dust jacket. Clean, tight, unmarked. No remainder mark! This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. It contains four parts, three of which concern recent theoretical developments in classical and Bayesian estimation of linear, nonlinear, and non Gaussian UC models, signal extraction and testing, and one is devoted to selected econometric applications. The first part focuses on the linear state space model; the readings provide insight on prediction theory, signal extraction, and likelihood inference for non stationary and non invertible processes, diagnostic checking, and the use of state space methods for spline smoothing. Part II deals with applications of linear UC models to various estimation problems concerning economic time series, such as trend-cycle decompositions, seasonal adjustment, and the modelling of the serial correlation induced by survey sample design. The issues involved in testing in linear UC models are the theme of part III, which considers tests concerned with whether or not certain variance parameters are zero, with special reference to stationarity tests. Finally, part IV is devoted to the advances concerning classical and Bayesian inference for non linear and non Gaussian state space models, an area that has been evolving very rapidly during the last decade, paralleling the advances in computational inference using stochastic simulation techniques. The book is intended to give a relatively self-contained presentation of the methods and applicative issues. For this purpose, each part comes with an introductory chapter by the editors that provides a unified view of the literature and the many important developments that have occurred in the last years. …

in-8°, pp. 64 con 8 disegni di Parentela su folgi applicati sulle pagine n.t. Bross. edit. rigida con ill. a colori al piatto ant. Buono l'interno.

Softcover. Condición: Near Fine. Book measures 23.5x16.cm. xv,458pp. A virtually new clean paperback. Internally, pages clean throughout. Size: 8vo.

Condición: New.

Rilegato. In 8°, cart. ed., pp. 63 con illustrazioni di Parentela nel t.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Paperback. Condición: New.

Condición: New.

Condición: New. Editor(s): Harvey, Andrew; Proietti, Tommaso. Series: Advanced Texts in Econometrics. Num Pages: 480 pages, Illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 155 x 27. Weight in Grams: 732. . 2005. Paperback. . . . .

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: As New. Unread book in perfect condition.

Condición: New. Editor(s): Harvey, Andrew; Proietti, Tommaso. Series: Advanced Texts in Econometrics. Num Pages: 480 pages, Illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 234 x 155 x 27. Weight in Grams: 732. . 2005. Paperback. . . . . Books ship from the US and Ireland.…

Condición: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condición: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9782344032527.

Condición: very good. ed 2011 in buone condizioni libro quarto,leggera macchia sulretro della copertinaRILEGATI.

rilegato. Condición: Ottimo (Fine). Leggeri segni di uso, ottime condizioni.RILEGATI 9788817051965 Ottimo (Fine) . Book.

Condición: new. Questo è un articolo print on demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. It contains four parts, three of which concern recent theoretical developments in classical and Bayesian estimation of linear, nonlinear, and non Gaussian UC models, signal extraction and testing, and one is devoted to selected econometric applications.The first partfocuses on the linear state space model; the readings provide insight on prediction theory, signal extraction, and likelihood inference for non stationary and non invertible processes, diagnostic checking,and the use of state space methods for spline smoothing.Part II deals with applications of linear UC models to various estimation problems concerning economic time series, such as trend-cycle decompositions, seasonal adjustment, and the modelling of the serial correlation induced by survey sample design.The issues involved in testing in linear UC models are the theme of part III, which considers tests concerned with whether or not certain varianceparameters are zero, with special reference to stationarity tests.Finally, part IV is devoted to the advances concerning classical and Bayesian inference for non linear and nonGaussian state space models, an area that has been evolving very rapidly during the last decade, paralleling the advances in computational inference using stochastic simulation techniques.The book is intended to give a relatively self-contained presentation of the methods and applicative issues. For this purpose, each part comes with an introductory chapter by the editors that provides a unified view of the literature and the many important developments that have occurredin the last years. This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. It contains four parts, three of which concern recent theoretical developments in classical and Bayesian estimation of linear, nonlinear, and non Gaussian UC models, signal extraction and testing, and one is devoted to selected econometric applications.The first partfocuses on the linear state space model; the readings provide insight on prediction theory, signal extraction, and likelihood inference for non stationary and non invertible processes, diagnostic checking,and the use of state space methods for spline smoothing.Part II deals with applications of linear UC models to various estimation problems concerning economic time series, such as trend-cycle decompositions, seasonal adjustment, and the modelling of the serial correlation induced by survey sample design.The issues involved in testing in linear UC models are the theme of part III, which considers tests concerned with whether or not certain varianceparameters are zero, with special reference to stationarity tests.Finally, part IV is devoted to the advances concerning classical and Bayesian inference for non linear and nonGaussian state space models, an area that has been evolving very rapidly during the last decade, paralleling the advances in computational inference using stochastic simulation techniques.The book is intended to give a relatively self-contained presentation of the methods and applicative issues. For this purpose, each part comes with an introductory chapter by the editors that provides a unified view of the literature and the many important developments that have occurredin the last years. This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. 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.…

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand pp. 476 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Paperback. Condición: new. Paperback. This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. It contains four parts, three of which concern recent theoretical developments in classical and Bayesian estimation of linear, nonlinear, and non Gaussian UC models, signal extraction and testing, and one is devoted to selected econometric applications.The first partfocuses on the linear state space model; the readings provide insight on prediction theory, signal extraction, and likelihood inference for non stationary and non invertible processes, diagnostic checking,and the use of state space methods for spline smoothing.Part II deals with applications of linear UC models to various estimation problems concerning economic time series, such as trend-cycle decompositions, seasonal adjustment, and the modelling of the serial correlation induced by survey sample design.The issues involved in testing in linear UC models are the theme of part III, which considers tests concerned with whether or not certain varianceparameters are zero, with special reference to stationarity tests.Finally, part IV is devoted to the advances concerning classical and Bayesian inference for non linear and nonGaussian state space models, an area that has been evolving very rapidly during the last decade, paralleling the advances in computational inference using stochastic simulation techniques.The book is intended to give a relatively self-contained presentation of the methods and applicative issues. For this purpose, each part comes with an introductory chapter by the editors that provides a unified view of the literature and the many important developments that have occurredin the last years. This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorAndrew Harvey is Professor of Econometrics at the University of Cambridge.Tommaso Proietti is Professor of Economic Statistics at the University of Udine, ItalyKlappentextrnrnThi. …