Introduction to Time Series Analysis and Forecasting by Douglas C Montgomery

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Summary

An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences.

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Introduction to Time Series Analysis and Forecasting by Douglas C Montgomery

An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences.
"This would be an appropriate source for use in a first course in time series analysisIt might also be useful as a reference for researchers who want to apply time series analysis to their data sets." ( CHOICE Oct 2008) "The result is a book that can be used with a wide variety of audiences, with different interests and technical backgrounds, whose common interests are understanding how to analyze time-oriented data and constructing good short-term statistically based forecasts." ( Mathematical Reviews Aug 2008) "The book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics." ( MAA Reviews, July 2008)
Douglas C. Montgomery, PhD, is Regents' Professor of Industrial Engineering and Statistics at Arizona State University. Dr. Montgomery has over thirty years of academic and consulting experience and has devoted his research to engineering statistics, specifically the design and analysis of experiments, statistical methods for process monitoring and optimization, and the analysis of time-oriented data. He has authored or coauthored over 190 journal articles and eleven books, including Introduction to Linear Regression Analysis, Fourth Edition and Generalized Linear Models: With Applications in Engineering and the Sciences, both published by Wiley. Cheryl L. Jennings, PhD, is a Process Design Consultant with Bank of America. An active member of both the American Statistical Association and the American Society for Quality, her areas of research and professional interest include Six Sigma; modeling and analysis; and process control and improvement. Dr. Jennings earned her PhD in industrial engineering from Arizona State University. Murat Kulahci, PhD, is Associate Professor in Informatics and Mathematical Modelling at the Technical University of Denmark. He has authored or coauthored over thirty journal articles in the areas of time series analysis, design of experiments, and statistical process control and monitoring.
SKU Unavailable
ISBN 13 9780471653974
ISBN 10 0471653977
Title Introduction to Time Series Analysis and Forecasting
Author Douglas C Montgomery
Series Wiley Series In Probability And Statistics
Condition Unavailable
Binding Type Hardback
Publisher John Wiley and Sons Ltd
Year published 2008-04-04
Number of pages 472
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.