Journal article
George Box's contributions to time series analysis and forecasting
Applied stochastic models in business and industry, Vol.30(1), pp.25-35
01/01/2014
DOI: 10.1002/asmb.2016
Abstract
George Edward Pelham Box was born on October 19, 1919 in Gravesend, Kent, UK and died on March 28, 2013 in Madison, Wisconsin, USA. George Box made significant contributions to many fields of statistics including design of experiments and response surface methodology, evolutionary operation, statistical inference, robustness, Bayesian methods, time series analysis and forecasting, and quality improvement. Our paper discusses his contributions to time series analysis and forecasting. His work in this area started in collaboration with Gwilym Jenkins in the early 1960s and continued over the next several decades. His contributions include the classic and extraordinarily influential book Time Series Analysis: Forecasting and Control' written with Gwilym Jenkins and first published by Holden Day in 1970. Subsequent contributions to time series analysis include joint work with George Tiao, Gregory Reinsel, Daniel Pena, and many former graduate students. His work provided a unified framework for carrying out time series analysis in practice and laid the foundation for many new developments in the field. Copyright (c) 2014 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- George Box's contributions to time series analysis and forecasting
- Creators
- G. M. Ljung - Independent Consultant Lexington MA U.S.A.J. Ledolter - University of IowaB. Abraham - University of Waterloo
- Resource Type
- Journal article
- Publication Details
- Applied stochastic models in business and industry, Vol.30(1), pp.25-35
- Publisher
- Wiley
- DOI
- 10.1002/asmb.2016
- ISSN
- 1524-1904
- eISSN
- 1526-4025
- Number of pages
- 11
- Grant note
- Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada (NSERC); CGIAR
- Language
- English
- Date published
- 01/01/2014
- Academic Unit
- Statistics and Actuarial Science; Business Analytics
- Record Identifier
- 9984380483302771
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