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Time Series Analysis and Its Applications (Springer Texts in Statistics) - GOOD

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eBay item number:256478965995
Last updated on Aug 22, 2024 21:41:24 PDTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
Book Title
Time Series Analysis and Its Applications (Springer Texts in Sta
MPN
Does not apply
ISBN
9780387989501
Subject Area
Mathematics, Medical
Publication Name
Time Series Analysis and Its Applications
Publisher
Springer
Item Length
9.6 in
Subject
Biostatistics, Probability & Statistics / General, Probability & Statistics / Time Series
Publication Year
2005
Series
Texts in Statistics
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.3 in
Author
Robert H. Shumway, David S. Stoffer
Item Weight
34.4 Oz
Item Width
6.4 in
Number of Pages
Xiii, 572 Pages

About this product

Product Identifiers

Publisher
Springer
ISBN-10
0387989501
ISBN-13
9780387989501
eBay Product ID (ePID)
1585516

Product Key Features

Number of Pages
Xiii, 572 Pages
Publication Name
Time Series Analysis and Its Applications
Language
English
Publication Year
2005
Subject
Biostatistics, Probability & Statistics / General, Probability & Statistics / Time Series
Type
Textbook
Author
Robert H. Shumway, David S. Stoffer
Subject Area
Mathematics, Medical
Series
Texts in Statistics
Format
Hardcover

Dimensions

Item Height
1.3 in
Item Weight
34.4 Oz
Item Length
9.6 in
Item Width
6.4 in

Additional Product Features

Intended Audience
College Audience
LCCN
99-046583
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5/5
Synopsis
A balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using non-trivial data illustrate solutions to problems, such as evaluating pain perception experiments using magnetic resonance imaging or monitoring a nuclear test ban treaty. Although designed as a text for graduate level students in statistics and the physical, biological and social sciences, some parts of the book will also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels, and the material has been updated by adding modern developments involving categorical time series analysis and the spectral envelope, multivariate spectral methods, long memory series, nonlinear models, longitudinal data analysis, resampling techniques, ARCH models, stochastic volatility, wavelets and Monte Ca
LC Classification Number
QA280.S585 2000

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