Time Series: Theory and Methods (Springer Series in

Time Series: Theory and Methods (Springer Series in Statistics)

This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models. The companion diskette for the IBM PC has expanded into the software package ITSM: An Interactive Time Series Modelling Package for the PC, which includes a manual and can be ordered from Springer-Verlag. * We are indebted to many readers who have used the book and programs and made suggestions for improvements. Unfortunately there is not enough space to acknowledge all who have contributed in this way; however, special mention must be made of our prize-winning fault-finders, Sid Resnick and F. Pukelsheim. Special mention should also be made of Anthony Brockwell, whose advice and support on computing matters was invaluable in the preparation of the new diskettes. We have been fortunate to work on the new edition in the excellent environments provided by the University of Melbourne and Colorado State University. We thank Duane Boes particularly for his support and encouragement throughout, and the Australian Research Council and National Science Foundation for their support of research related to the new material. We are also indebted to Springer-Verlag for their constant support and assistance in preparing the second edition. Fort Collins, Colorado P. J. BROCKWELL November, 1990 R. A. DAVIS * /TSM: An Interactive Time Series Modelling Package for the PC by P. J. Brockwell and R. A. Davis. ISBN: 0-387-97482-2; 1991.

Country	USA
Binding	Paperback
Brand	Brand: Springer
EAN	9781441903198
Edition	2nd ed. 1991. 2nd printing 2009. Softcover reprint of the original 2nd ed. 1991
Feature	Used Book in Good Condition
ISBN	1441903194
IsEligibleForTradeIn	1
Label	Springer
Manufacturer	Springer
NumberOfItems	1
NumberOfPages	580
PublicationDate	2009-04-28
Publisher	Springer
ReleaseDate	2009-04-28
Studio	Springer

Time Series: Theory and Methods (Springer Series in Statistics)

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