Cargando…

Foundations of statistical algorithms: with references to R packages

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 algorit...

Descripción completa

Detalles Bibliográficos
Autores principales: Weihs, Claus, Mersmann, Olaf, Ligges, Uwe
Lenguaje:eng
Publicado: CRC Press 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/2018912
_version_ 1780946770875908096
author Weihs, Claus
Mersmann, Olaf
Ligges, Uwe
author_facet Weihs, Claus
Mersmann, Olaf
Ligges, Uwe
author_sort Weihs, Claus
collection CERN
description 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
id cern-2018912
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher CRC Press
record_format invenio
spelling cern-20189122021-04-21T20:18:36Zhttp://cds.cern.ch/record/2018912engWeihs, ClausMersmann, OlafLigges, UweFoundations of statistical algorithms: with references to R packagesMathematical Physics and MathematicsA 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 CRC Pressoai:cds.cern.ch:20189122013
spellingShingle Mathematical Physics and Mathematics
Weihs, Claus
Mersmann, Olaf
Ligges, Uwe
Foundations of statistical algorithms: with references to R packages
title Foundations of statistical algorithms: with references to R packages
title_full Foundations of statistical algorithms: with references to R packages
title_fullStr Foundations of statistical algorithms: with references to R packages
title_full_unstemmed Foundations of statistical algorithms: with references to R packages
title_short Foundations of statistical algorithms: with references to R packages
title_sort foundations of statistical algorithms: with references to r packages
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2018912
work_keys_str_mv AT weihsclaus foundationsofstatisticalalgorithmswithreferencestorpackages
AT mersmannolaf foundationsofstatisticalalgorithmswithreferencestorpackages
AT liggesuwe foundationsofstatisticalalgorithmswithreferencestorpackages