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Applied Linear Regression for Business Analytics with R

A Practical Guide to Data Science with Case Studies
BuchGebunden
276 Seiten
Englisch
Springererschienen am03.06.20232023
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems.mehr
Verfügbare Formate
BuchGebunden
EUR117,69
BuchKartoniert, Paperback
EUR85,59
E-BookPDF1 - PDF WatermarkE-Book
EUR106,99

Produkt

KlappentextApplied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems.
Details
ISBN/GTIN978-3-031-21479-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2023
Erscheinungsdatum03.06.2023
Auflage2023
Seiten276 Seiten
SpracheEnglisch
IllustrationenXVII, 276 p. 86 illus., 53 illus. in color.
Artikel-Nr.51195095
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Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction.- 2. Basic Statistics and Functions using R.- 3. Regression Fundamentals.- 4. Simple Linear Regression.- 5. Multiple Regression.- 6. Estimation Intervals and Analysis of Variance.- 7. Predictor Variable Transformations.- 8. Model Diagnostics.- 9. Variable Selection.mehr

Schlagworte

Autor

Dr. Daniel McGibney is an Assistant Professor of Professional Practice at the University of Miami Herbert Business School, USA. He currently teaches analytics to both graduate and undergraduate students. Over the years, he has taught many analytics and data science classes, ranging from Basic Statistics to Big Data Analytics and Deep Learning. He has taught Applied Linear Regression Analysis to students pursuing their MSBA, MBA, MST, and MAcc. He also actively oversees and mentors graduate capstone projects in Analytics for MSBA students, collaborating with Deloitte, Visa, Carnival, Citi, Experian, and many other companies. Dr. McGibney formerly served as the program director for the Herbert Business School's MSBA degree program. He advised students, oversaw admissions, expanded industry partnerships, and advanced the program curriculum during his tenure as program director.
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McGibney, Daniel P.