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Synopsis
The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.
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About the Author
Maurice Charbit, Institut Mines-Telecom, Paris, France.
"About this title" may belong to another edition of this title.
- PublisherWiley-ISTE
- Publication date2017
- ISBN 10 1786301261
- ISBN 13 9781786301260
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages304
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Digital Signal Processing With Python Programming
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ISTE Ltd and John Wiley & Sons Inc, 2017
ISBN 10: 1786301261
ISBN 13: 9781786301260
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Digital Signal Processing (DSP) with Python Programming (Hardcover)
Published by
ISTE Ltd and John Wiley & Sons Inc, London, 2017
ISBN 10: 1786301261
ISBN 13: 9781786301260
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Hardcover. Condition: new. Hardcover. The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided. The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing. , and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781786301260
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