Foundations of Statistical Algorithms: With References to R Packages
19.02.2019 28 0 Free ebook

Foundations of Statistical Algorithms: With References to R Packages

Science & Math
ISBN: 1439878854 Format: PDF Edition: 1 edition Date: December 9, 2013 Pages: 500 pages Language: English

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.


Foundations of Statistical Algorithms: With References to R Packages

Download .PDF eBook
В закладки

Dear users and students. The Book Foundations of Statistical Algorithms: With References to R Packages on our website it is presented for demonstration only. We do not store the files, If you like the book, please remove it and to buy a printed version of the book.

If You feel that this book is belong to you and you want to unpublish it, Please Contact us.

This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.



Comments (0)
ADD COMMENTS
Прокомментировать
reload, if the code cannot be seen
Machine Learning: An Algorithmic Perspective, Second Edition
Data Mining: Theories, Algorithms, and Examples
An Introduction to Statistical Learning: with Applications in R
Distributed Graph Algorithms for Computer Networks
Data Structures and Algorithms with Python
Data Mining Algorithms: Explained Using R
Beginning R
Algorithms in a Nutshell