Predictions in Time Series Using Regression Models

Author:   Frantisek Stulajter
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2002
ISBN:  

9781441929655


Pages:   233
Publication Date:   26 May 2011
Format:   Paperback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Predictions in Time Series Using Regression Models


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Full Product Details

Author:   Frantisek Stulajter
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2002
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441929655


ISBN 10:   1441929657
Pages:   233
Publication Date:   26 May 2011
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

1 Hilbert Spaces and Statistics.- 2 Random Processes and Time Series.- 3 Estimation of Time Series Parameters.- 4 Predictions of Time Series.- 5 Empirical Predictors.- References.

Reviews

From the reviews: The book is useful for students and researchers of mathematical statistics, economical and financial mathematics and management with an important mathematical focus. -Mathematical Reviews [This book] is an excellent reference book for researchers with an interest in mathematical statistics, econometric theory, or applied econometrics ... I strongly recommend it to anyone interested in learning a methodology for modeling and prediction of time series different from the Box-Jenkins approach. It would be an especially valuable resource for graduate students being introduced to the analysis of time series for self-study. -Journal of the American Statistical Association The book is well organized and carefully written with clear notation. It also stimulates the reader's interest in wanting to learn more about some of the more advanced topics. ... Predictions in Time Series Using Regression Models is an excellent reference book for researchers ... . This book is a valuable addition to the extensive literature on the analysis of time series. I strongly recommend it ... . It would be an especially valuable resource for graduate students ... . (Montserrat Fuentes, Journal of the American Statistical Association, Vol. 98 (463), September, 2003) This book is based on regression models used for time series. ... The aim of the book is to give a unified approach to the solution of statistical problems for such time series models, and mainly to problems of estimation of unknown parameters of models ... . The book is useful for students and researchers of mathematical statistics, economical and financial mathematics and management with an important mathematical focus. (Juan Carlos Abril, Mathematical Reviews, Issue 2003 h) The purpose of this book is to provide a unified approach for the estimation of regression parameters when the errors are correlated and stationary. ... The author uses the models to illustrate the methods described. ... the book should be useful for a person who is working in the areas of estimation and prediction. (T. Subba Rao, Short Book Reviews, Vol. 23 (1), 2003)


From the reviews: The book is useful for students and researchers of mathematical statistics, economical and financial mathematics and management with an important mathematical focus. -Mathematical Reviews [This book] is an excellent reference book for researchers with an interest in mathematical statistics, econometric theory, or applied econometrics ! I strongly recommend it to anyone interested in learning a methodology for modeling and prediction of time series different from the Box-Jenkins approach. It would be an especially valuable resource for graduate students being introduced to the analysis of time series for self-study. --Journal of the American Statistical Association The book is well organized and carefully written with clear notation. It also stimulates the reader's interest in wanting to learn more about some of the more advanced topics. ! Predictions in Time Series Using Regression Models is an excellent reference book for researchers ! . This book is a valuable addition to the extensive literature on the analysis of time series. I strongly recommend it ! . It would be an especially valuable resource for graduate students ! . (Montserrat Fuentes, Journal of the American Statistical Association, Vol. 98 (463), September, 2003) This book is based on regression models used for time series. ! The aim of the book is to give a unified approach to the solution of statistical problems for such time series models, and mainly to problems of estimation of unknown parameters of models ! . The book is useful for students and researchers of mathematical statistics, economical and financial mathematics and management with an important mathematical focus. (Juan Carlos Abril, Mathematical Reviews, Issue 2003 h) The purpose of this book is to provide a unified approach for the estimation of regression parameters when the errors are correlated and stationary. ! The author uses the models to illustrate the methods described. ! the book should be useful for a person who is working in the areas of estimation and prediction. (T. Subba Rao, Short Book Reviews, Vol. 23 (1), 2003)


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