Foundations of Statistical Algorithms: With References to R Packages: Chapman & Hall/CRC Computer Science & Data Analysis
Autor Claus Weihs, Olaf Mersmann, Uwe Liggesen Limba Engleză Hardback – 9 dec 2013
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.
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Specificații
ISBN-13: 9781439878859
ISBN-10: 1439878854
Pagini: 500
Ilustrații: 98 black & white illustrations, 25 black & white tables
Dimensiuni: 156 x 234 x 30 mm
Greutate: 0.96 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computer Science & Data Analysis
ISBN-10: 1439878854
Pagini: 500
Ilustrații: 98 black & white illustrations, 25 black & white tables
Dimensiuni: 156 x 234 x 30 mm
Greutate: 0.96 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computer Science & Data Analysis
Public țintă
Professional Practice & DevelopmentCuprins
Introduction. Computation. Verification. Iteration. Deduction of Theoretical Properties. Randomization. Repetition. Scalability and Parallelization. Bibliography. Index.
Notă biografică
Weihs, Claus; Mersmann, Olaf ; Ligges, Uwe
Descriere
Reviewing the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms, this comprehensive textbook emphasizes recurring themes in all statistical algorithms including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, it touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. Broadly accessible, it offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website.