Inbunden, Engelska, 2011
Time Series Analysis and Forecasting by Example
Av Søren Bisgaard, Murat Kulahci
Del 301 i serien Wiley Series in Probability and Statistics
1787 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2011-08-09
- Mått: 152 x 234 x 25 mm
- Vikt: 680 g
- Format: Inbunden
- Språk: Engelska
- Serie: Wiley Series in Probability and Statistics
- Antal sidor: 400
- Förlag: John Wiley & Sons Inc
- ISBN: 9780470540640
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Mer om författaren
The late Søren Bisgaard, PhD, was professor of technology management at the University of Massachusetts Amherst. Throughout his esteemed career, Dr. Bisgaard made significant research contributions in the areas of experimental design, operations management, time series analysis, and Lean Six Sigma. A Fellow of the American Statistical Association and the American Society for Quality, he was also one of the cofounders of the European Network for Business and Industrial Statistics (ESBIS) in 1999. Dr. Bisgaard was awarded many honors for his achievements in the field of statistics, including the Brumbaugh Award (1988, 1996, and 2008), the Shewhart Medal (2002), the William G. Hunter Award (2002), and the George Box Award (2004). Murat Kulahci, PhD, is Associate Professor of Statistics in the Department of Informatics and Mathematical Modeling at the Technical University of Denmark. He has authored or coauthored over forty journal articles in the areas of time series analysis, design of experiments, and statistical process control and monitoring. Dr. Kulahci is coauthor of Introduction to Time Series Analysis and Forecasting (Wiley).
Recensioner i media
“It is a suitable text for courses on time series analysis at the (upper) undergraduate and graduate level. It can also serve as a guide for practitioners and researchers who carry out time series analysis in engineering, business and economics.” (Zentralblatt MATH, 2012)"Time Series Analysis and Forecasting by Example is well recommended as a great introductory book for students transitioning from general statistics to time series as well as a good source book for intermediate level time series model builders." (Book Pleasures, 2012) "They set out to provide an introduction that is easy to understand and use, and that draws heavily from examples to demonstrate the principles and techniques." (Book News, 1 October 2011)
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