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Time series [Perpetual] (Record no. 563590)

MARC details
000 -LEADER
fixed length control field 02103 a2200241 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210707103756.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210204b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.55
Item number B783t
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Brockwell, Peter J.
245 ## - TITLE STATEMENT
Title Time series [Perpetual]
Remainder of title theory and methods
Statement of responsibility, etc Peter J. Brockwell and Richard A. Davis
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer
Year of publication 1987
Place of publication New York
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiv, 532p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer series in statistics
520 ## - SUMMARY, ETC.
Summary, etc We have attempted in this book to give a systematic account of linear time series models and their application to the modelling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis for the techniques. Both time and frequency domain methods are discussed but the book is written in such a way that either approach could be emphasized. The book is intended to be a text for graduate students in statistics, mathematics, engineering, and the natural or social sciences. It has been used both at the M. S. level, emphasizing the more practical aspects of modelling, and at the Ph. D. level, where the detailed mathematical derivations of the deeper results can be included. Distinctive features of the book are the extensive use of elementary Hilbert space methods and recursive prediction techniques based on innovations, use of the exact Gaussian likelihood and AIC for inference, a thorough treatment of the asymptotic behavior of the maximum likelihood estimators of the coefficients of univariate ARMA models, extensive illustrations of the tech­ niques by means of numerical examples, and a large number of problems for the reader. The companion diskette contains programs written for the IBM PC, which can be used to apply the methods described in the text.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Time-series analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Prediction theory
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Davis, Richard A.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://link.springer.com/book/10.1007/978-1-4899-0004-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        Electronic Resources PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 20/07/2021 88 17212.09 519.55 B783t EBK10692 16392.47 E books

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