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Foundations of Statistical Algorithms - With References to R Packages (Hardcover)
Loot Price: R4,168
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Foundations of Statistical Algorithms - With References to R Packages (Hardcover)
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Expected to ship within 12 - 17 working days
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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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