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Could anyone help me in creating of Burglary prediction model of retail stores at monthly level. This forecasting help to deploy appropriate resources at risky stores for mitigating the risk. The data I have:

1. Historical Burglary data at store level

2. Demographics data (static for one year)

We also considered some store specific variables but they all are also static, but I need a model that gives the monthly riskiness of each store from burglary point of view.

Thanks in advance.




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Hi Atul,

You can use the methodology used for credit scoring. Use proc logistic and get the probability of burgary.


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