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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Digital Signal Processing (DSP) with Python Programming (Hardcover)
Publisher: ISTE Ltd and John Wiley & Sons Inc, London
Publication Date: 2017
Language: English
ISBN 10: 1786301261
ISBN 13: 9781786301260
Binding: Hardcover
Condition: new

About this title

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.

About the Author

Maurice Charbit, Institut Mines-T�l�com, Paris, France.

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