Statistics (the Easier Way) with R, 2nd Ed An Informal Text on Applied Statistics and Data Science

Radziwill, N. M.

ISBN 10: 0996916059 / ISBN 13: 9780996916059

Edité par Lapis Lucera, 2017

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Synopsis :

Designed for beginning and intermediate data scientists, graduate students starting research, undergraduate students taking a first or second applied statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in data science using the R Statistical Software. Each technique is framed within an easy-to-apply 7 Step methodology.

À propos de l?auteur: Nicole Radziwill is an Associate Professor in the Department of Integrated Science and Technology (ISAT) at James Madison University (JMU) in Harrisonburg, Virginia. She is a Fellow of the American Society for Quality (ASQ) and is a Certified Six Sigma Black Belt (CSSBB) and Certified Manager of Quality and Organizational Excellence (CMQ/OE). She has a Ph.D. in Quality Systems, and her research uses data science to explore Quality 4.0: quality and innovation in intelligent automation and cyber-human production systems. She is one of ASQ's Influential Voices and blogs at http: //qualityandinnovation.com.

Détails bibliographiques

Titre : Statistics (the Easier Way) with R, 2nd Ed ...
Éditeur : Lapis Lucera
Date d'édition : 2017
Reliure : Couverture souple
Etat : Good
Edition : 2ème Édition