The book is intended to support the teaching of introductory business analytics at the under-graduate and graduate levels. The book is divided into two parts—Mathematical Methods and Statistical Methods. In Mathematical Methods, we introduce decision analysis with the study of influence diagrams and decision trees. In Statistical Methods, we analyze the relationship between variables by building models to represent, understand, and predict the behavior of the phenomena in question. The regression model is studied in detail—from linear regression to logistic regression—with emphasis on the correct application to a particular dataset.
Principles of business analytics
Fein, Dovid
;Venturini, Sergio
;Poli, Elena
;Borgonovo, Emanuele
2024
Abstract
The book is intended to support the teaching of introductory business analytics at the under-graduate and graduate levels. The book is divided into two parts—Mathematical Methods and Statistical Methods. In Mathematical Methods, we introduce decision analysis with the study of influence diagrams and decision trees. In Statistical Methods, we analyze the relationship between variables by building models to represent, understand, and predict the behavior of the phenomena in question. The regression model is studied in detail—from linear regression to logistic regression—with emphasis on the correct application to a particular dataset.
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