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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D�tails bibliographiques

Titre: Digital Signal Processing (DSP) with Python Programming (Hardcover)
�diteur: ISTE Ltd and John Wiley & Sons Inc, London
Date de parution: 2017
Langue: anglais
ISBN � 10 chiffres: 1786301261
ISBN � 13 chiffres: 9781786301260
Reliure: Hardcover
�tat de l'article: new

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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.

� propos de l?auteur

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

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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