Foundations of Statistical Algorithms Foundations of Statistical Algorithms
Chapman & Hall/CRC Computer Science & Data Analysis

Foundations of Statistical Algorithms

With References to R Packages

Claus Weihs et autres
    • 74,99 €
    • 74,99 €

Description de l’éditeur

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

GENRE
Science et nature
SORTIE
2013
9 décembre
LANGUE
EN
Anglais
LONGUEUR
500
Pages
ÉDITIONS
CRC Press
TAILLE
11,3
Mo

Plus de livres par Claus Weihs, Olaf Mersmann & Uwe Ligges

Statistics Today Statistics Today
Statistics Today
2024
Music Data Analysis Music Data Analysis
Music Data Analysis
2016
Analysis and Modeling of Complex Data in Behavioral and Social Sciences Analysis and Modeling of Complex Data in Behavioral and Social Sciences
Analysis and Modeling of Complex Data in Behavioral and Social Sciences
2014
Classification as a Tool for Research Classification as a Tool for Research
Classification as a Tool for Research
2010
Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
Classification - the Ubiquitous Challenge
2006

Autres livres de cette série

Semisupervised Learning for Computational Linguistics Semisupervised Learning for Computational Linguistics
Semisupervised Learning for Computational Linguistics
2007
Design and Modeling for Computer Experiments Design and Modeling for Computer Experiments
Design and Modeling for Computer Experiments
2005
Time Series Clustering and Classification Time Series Clustering and Classification
Time Series Clustering and Classification
2019
Combinatorial Inference in Geometric Data Analysis Combinatorial Inference in Geometric Data Analysis
Combinatorial Inference in Geometric Data Analysis
2019
Textual Data Science with R Textual Data Science with R
Textual Data Science with R
2019
Bayesian Regression Modeling with INLA Bayesian Regression Modeling with INLA
Bayesian Regression Modeling with INLA
2018