Difference between revisions of "ANLY482 AY2016-17 T2 Group21 : Finals"
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Due to the censored demand identified during our exploratory analysis, using survival analysis provides a way for us to handle such hidden values. | 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: | Survival analysis will be performed using the JMP built-in survival functions. We will be using two features: | ||
| + | |||
1. Basic survival function | 1. Basic survival function | ||
| − | + | *Applies Kaplan-Meier estimator to account for censored values | |
| + | |||
2. (Cox) proportional hazards fit | 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. | + | *Parameters estimates show how predictors affect the hazard function. |
Revision as of 17:21, 23 April 2017
| Exploratory | Mid-Term | Finals |
|---|
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.
