Foundations of Statistical Algorithms - Couverture souple

Weihs, Claus

Couverture souple

ISBN 10 : 0367379090 ISBN 13 : 9780367379094

Editeur : Routledge, 2019

Synopsis

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs.

Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.

A propos du livre

À propos de l?auteur

Weihs, Claus; Mersmann, Olaf; Ligges, Uwe

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0367379090
• ISBN 13: 9780367379094
• Reliure: Broché
• Nombre de pages: 500
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible