Introduction to Time Series Analysis and Forecasting / Wiley Series in Probability and Statistics (PDF)
(Sprache: Englisch)
Praise for the First Edition
"...[t]he book is great for readers who need to apply
the methods and models presented but have little background in
mathematics and statistics." -MAA Reviews
Thoroughly updated throughout, Introduction to Time...
"...[t]he book is great for readers who need to apply
the methods and models presented but have little background in
mathematics and statistics." -MAA Reviews
Thoroughly updated throughout, Introduction to Time...
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Produktinformationen zu „Introduction to Time Series Analysis and Forecasting / Wiley Series in Probability and Statistics (PDF)“
Praise for the First Edition
"...[t]he book is great for readers who need to apply
the methods and models presented but have little background in
mathematics and statistics." -MAA Reviews
Thoroughly updated throughout, Introduction to Time Series
Analysis and Forecasting, Second Edition presents the
underlying theories of time series analysis that are needed to
analyze time-oriented data and construct real-world short- to
medium-term statistical forecasts.
Authored by highly-experienced academics and professionals in
engineering statistics, the Second Edition features
discussions on both popular and modern time series methodologies as
well as an introduction to Bayesian methods in forecasting.
Introduction to Time Series Analysis and Forecasting, Second
Edition also includes:
* Over 300 exercises from diverse disciplines including health
care, environmental studies, engineering, and finance
* More than 50 programming algorithms using JMP®, SAS®,
and R that illustrate the theory and practicality of forecasting
techniques in the context of time-oriented data
* New material on frequency domain and spatial temporal
data analysis
* Expanded coverage of the variogram and spectrum with
applications as well as transfer and intervention model
functions
* A supplementary website featuring PowerPoint®
slides, data sets, and select solutions to the problems
Introduction to Time Series Analysis and Forecasting, Second
Edition is an ideal textbook upper-undergraduate and
graduate-levels courses in forecasting and time series. The book is
also an excellent reference for practitioners and researchers who
need to model and analyze time series data to generate forecasts.
"...[t]he book is great for readers who need to apply
the methods and models presented but have little background in
mathematics and statistics." -MAA Reviews
Thoroughly updated throughout, Introduction to Time Series
Analysis and Forecasting, Second Edition presents the
underlying theories of time series analysis that are needed to
analyze time-oriented data and construct real-world short- to
medium-term statistical forecasts.
Authored by highly-experienced academics and professionals in
engineering statistics, the Second Edition features
discussions on both popular and modern time series methodologies as
well as an introduction to Bayesian methods in forecasting.
Introduction to Time Series Analysis and Forecasting, Second
Edition also includes:
* Over 300 exercises from diverse disciplines including health
care, environmental studies, engineering, and finance
* More than 50 programming algorithms using JMP®, SAS®,
and R that illustrate the theory and practicality of forecasting
techniques in the context of time-oriented data
* New material on frequency domain and spatial temporal
data analysis
* Expanded coverage of the variogram and spectrum with
applications as well as transfer and intervention model
functions
* A supplementary website featuring PowerPoint®
slides, data sets, and select solutions to the problems
Introduction to Time Series Analysis and Forecasting, Second
Edition is an ideal textbook upper-undergraduate and
graduate-levels courses in forecasting and time series. The book is
also an excellent reference for practitioners and researchers who
need to model and analyze time series data to generate forecasts.
Autoren-Porträt von Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci
DOUGLAS C. MONTGOMERY, PhD, is Regents' Professor and ASU Foundation Professor of Engineering at Arizona State University. With over 35 years of academic and consulting experience, Dr. Montgomery has authored or coauthored over 250 journal articles and 13 books. His research interests include design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data.CHERYL L. JENNINGS, PhD, is Faculty Associate at Arizona State University. With more than 30 years of experience in the automotive, semiconductor, and banking industries, Dr. Jennings has coauthored two books. Her areas of professional interest include Six Sigma, modeling and analysis, performance management, and process control and improvement.
MURAT KULAHCI, PhD, is Associate Professor of Statistics at the Technical University of Denmark and Guest Deputy Professor at the Luleå University of Technology in Sweden. He is the author and/or coauthor of over 60 journal articles and two books. Dr. Kulahci's research interests include time series analysis, design of experiments, and statistical process control and monitoring.
Bibliographische Angaben
- Autoren: Douglas C. Montgomery , Cheryl L. Jennings , Murat Kulahci
- 2015, 2. Auflage, 672 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118745221
- ISBN-13: 9781118745229
- Erscheinungsdatum: 30.03.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
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- Größe: 17 MB
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Sprache:
Englisch
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