Foundations of Statistical Algorithms: With References to R Packages free ebook download.

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Foundations of Statistical Algorithms: With References to R Packages free ebook download

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Algorithms

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Catalogue

Author(s):	Claus Weihs, Olaf Mersmann, Uwe Ligges

Date:	2013	Format:	pdf	Language:	English	ISBN/ASIN:	1439878854
Pages:	495	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	11/25/2024 6:16:01 AM

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1439878854 pdf
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.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3277665	Book	https://nitroflare.com/view/AC069C4BBD0F...		3.00	eternal

Tags: Algorithms Foundations Packages References Statistical

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