Essentials of modeling and analytics : retail risk management and asset protection
Book information
Description
Content: Introduction -- Criminology theory and crime prevention -- Retail theft and security -- Basic statistical analysis -- Graphical representation -- Inferential statistics and hypothesis testing -- Common statistical hypothesis tests -- Testing and deploying loss prevention programs -- Introduction to modeling -- Linear regression -- Logistic regression -- Advanced techniques and machine learning models -- Integrating analytics into loss prevention teams -- Conclusion.
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