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Applied time series analysis with R (Record no. 557740)

000 -LEADER
fixed length control field 02193 a2200217 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781498734226
040 ## - CATALOGING SOURCE
Transcribing agency IITK
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5502855
Item number W878a2
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Woodward , Wayne A.
245 ## - TITLE STATEMENT
Title Applied time series analysis with R
Statement of responsibility, etc Wayne A. Woodward, Henry L. Gray and Alan C. Elliott
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher CRC Press
Year of publication 2017
Place of publication Boca Ratan
300 ## - PHYSICAL DESCRIPTION
Number of Pages xv, 618p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis.

Features
Gives readers the ability to actually solve significant real-world problems
Addresses many types of nonstationary time series and cutting-edge methodologies
Promotes understanding of the data and associated models rather than viewing it as the output of a "black box"
Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website.
Over 150 exercises and extensive support for instructors
The second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Time-series analysis
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gray, Henry L.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Elliott, Alan C.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2017-09-14 2 4351.20 519.5502855 W878a2 A183191 5801.60 Books

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