ANLY482 AY2016-17 T2 Group21 : Finals
| Exploratory | Mid-Term | Finals |
|---|
Survival Analysis
Due to the censored demand identified during our exploratory analysis, using survival analysis provides a way for us to handle such hidden values. Survival analysis will be performed using the JMP built-in survival functions. We will be using two features:
1. Basic survival function
- Applies Kaplan-Meier estimator to account for censored values
2. (Cox) proportional hazards fit
- Fits a linear model between predictors (explanatory variables) and the hazard function.
- Parameters estimates show how predictors affect the hazard function.
Survival Analysis on Stock Out Time
To account for non-stockout products, we perform our survival analysis of product stock-out-time with the following definition:
- Subject: A product identified by name and size
- Time to event: Time in days for a product to stockout
- Censor: 0 if product stockout, 1 otherwise
