Time series analysis and forecasting by example / Soren Bisgaard, Murat Kulahci.

By: Bisgaard, Soren, 1938-
Contributor(s): Kulahci, Murat
Material type: TextTextLanguage: English Series: Wiley series in probability and statisticsPublisher: Hoboken, N.J. : Wiley, c2011Description: xiii, 366 p. : ill. ; 25 cmISBN: 9780470540640 (cloth)Subject(s): Time-series analysis | ForecastingDDC classification: 519.55 LOC classification: QA280 | .B575 2011Online resources: WorldCat details | Ebook Fulltext
Contents:
Table of contents Frontmatter -- Time Series Data: Examples and Basic Concepts -- Visualizing Time Series Data Structures: Graphical Tools -- Stationary Models -- Nonstationary Models -- Seasonal Models -- Time Series Model Selection -- Additional Issues in ARIMA Models -- Transfer Function Models -- Additional Topics -- Appendix A: Datasets Used in the Examples -- Appendix B: Datasets Used in the Exercises -- Bibliography -- Index -- Wiley Series in Probability and Statistics
Summary: Times Series Analysis and Forecasting presents seemingly difficult techniques and methodologies in an insightful and application-based way. Through a hands-on and user-friendly approach, this text includes exercises, graphical techniques, examples, excel spreadsheets, and software applications on time series analysis.
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E-Book E-Book EWU Library
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Non-fiction 519.55 BIT 2011 (Browse shelf) Not for loan
Text Text EWU Library
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Includes bibliographical references and index.

Table of contents Frontmatter --
Time Series Data: Examples and Basic Concepts --
Visualizing Time Series Data Structures: Graphical Tools --
Stationary Models --
Nonstationary Models --
Seasonal Models --
Time Series Model Selection --
Additional Issues in ARIMA Models --
Transfer Function Models --
Additional Topics --
Appendix A: Datasets Used in the Examples --
Appendix B: Datasets Used in the Exercises --
Bibliography --
Index --
Wiley Series in Probability and Statistics



Times Series Analysis and Forecasting presents seemingly difficult techniques and methodologies in an insightful and application-based way. Through a hands-on and user-friendly approach, this text includes exercises, graphical techniques, examples, excel spreadsheets, and software applications on time series analysis.

Applied Statistics

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