Durbin James (43 results)

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condition: Good. No Jacket. Hydrogen Fuel for Surface Transportation provides background information on the advantages and disadvantages of hydrogen as a fuel, describes the current state of technology of hydrogen-fueled vehicles, and discusses the future requirements of the "hydrogen economy." Each chapter also includes reprints of noteworthy articles and technical papers on the subject. Dampness has seeped into more than just the cover. Please note the image in this listing is a stock photo and may not match the covers of the actual item. Book.…

Condition: New.

Condition: New.

Condition: New.

Condition: New.

PB. Condition: good, wraps (softcover). 60pp Staple bound offset sheets.

Condition: New.

Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: Good. Volume 24. 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. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780198523543. …

Condition: As New. Unread book in perfect condition.

Gebunden. Condition: New.

Hardcover. Condition: Very Good. No Jacket. 1st Edition. Published by Oxford University Press @ Clarendon Press in 2001, here is the first hardback printing of James Durbin and Siem Koopman's Time Series Analysis by State Space methods (Volume 24, Oxford Statistical Science Series). Glossy red/blue boards, 253 pages plus illustrations the book is in very good plus condition.…

Hardcover. Condition: Very Good. Time Series Analysis by State Space Methods (Oxford Statistical Science Series) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .This book presents a comprehensive treatment of the state space approach to time series analysis.…

Hardback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.This book presents a comprehensive treatment of the state space approach to time series analysis.…

hardcover. Condition: Very Good.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Very Good. No Jacket. First Edition. A very good copy of the apparent first hard cover edition (no explicit edition or printing statement), lacking a dust-jacket. The text is wholly unmarked, pristine. Moderate wear with a bit of rubbing, especially to the extremities of the binding (see scan). [Note: This is not an ex-library copy.].…

Condition: New.

Condition: New.

Hardcover. Condition: Fine. 1st Edition. 253 Pages With The Index, In Fine Condition. Textbook Binding. Used Book.We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.…

Condition: New. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis. Series: Oxford Statistical Science Series. Num Pages: 368 pages, 34 b/w illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 162 x 25. Weight in Grams: 678. . 2012. 2nd Edition. Hardcover. . . . .…

Hardback. Condition: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation. …

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis. Series: Oxford Statistical Science Series. Num Pages: 368 pages, 34 b/w illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 162 x 25. Weight in Grams: 678. . 2012. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardback. Condition: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation. …

Hardback. Condition: New. This new edition updates Durbin and Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series.Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations.Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation. …