NJ Mark – Benford's Law

Libro adottato a Molise, a.a. 2026/2027 · 1 canale

«NJ Mark – Benford's Law» è adottato per Predictive Analytics dal prof. Claudio Lupi (Management e Consulenza Aziendale – sede di Campobasso – Molise).

Come lo indica il docente: ● Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (2021): An Introduction to Statistical Learning with Applications in R (Second Edition). Springer Series in Statistics, Springer: New York, NY. (The book is freely available as a .pdf file from https://www.statlearning.com/) ● Teaching materials (handouts) by the lecturer. Suggested readings: ● Eric Siegel (2013): Predictive Analytics: The power to predict who will click, buy, lie, or die. John Wiley & Sons: Hoboken, NJ. ● Mark J. Nigrini (2012): Benford's Law: Applications for forensic accounting, auditing, and fraud detection. John Wiley & Sons: Hoboken, NJ. ● Andreas Behr (2015): Theory of Sample Surveys with R. UVK Verlagsgesellschaft mbH: Konstanz

Chi lo adotta

• Predictive Analytics – Prof. Claudio Lupi (canale unico)Management e Consulenza Aziendale – sede di Campobasso · Laurea magistrale (LM-77) · esame facoltativo · 9 CFU

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