MIT Press
Extrapolation, Interpolation, and Smoothing of Stationary Time Series (English, Norbert Wiener)
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Specifications
| Publisher | MIT Press |
| Language | English |
| ISBN-13 | 9780262730051 |
| ISBN-10 | 0262730057 |
| Author | Norbert Wiener |
Product Description
About the Book
A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The original work was circulated as a cla…
ISBN: 9780262730051
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Extrapolation, Interpolation, and Smoothing of Stationary Time Series
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in MIT Press
Who Should Read This
Students at the undergraduate and postgraduate level, as well as educators.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Who is the author of Extrapolation, Interpolation, and Smoothing of Stationary Time Series?
Extrapolation, Interpolation, and Smoothing of Stationary Time Series is authored by Norbert Wiener.
Who published Extrapolation, Interpolation, and Smoothing of Stationary Time Series?
Extrapolation, Interpolation, and Smoothing of Stationary Time Series is published by MIT Press.
How many pages does Extrapolation, Interpolation, and Smoothing of Stationary Time Series have?
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About the Book
A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer scie...
Is Extrapolation, Interpolation, and Smoothing of Stationary Time Series suitable for beginners?
Whether Extrapolation, Interpolation, and Smoothing of Stationary Time Series is suitable for beginners depends on your background in MIT Press. Review the product description and specifications above for details on the target audience and difficulty level.
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