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.

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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

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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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