Customer retention – SAS code
by J. Andrew Petersen, V. Kumar
Statistical Methods in Customer Relationship Management
- Cover
- Title Page
- Copyright
- Dedication
- Preface
- Chapter 1: Customer Relationship Management
- Chapter 2: CRM in Action
- Chapter 3: Customer Acquisition
- Chapter 4: Customer Retention
- Chapter 5: Balancing Acquisition and Retention
- Chapter 6: Customer Churn
- Chapter 7: Customer Win-back
- Chapter 8: Implementing CRM Models
- Chapter 9: The Future of CRM
- Appendix A: Maximum Likelihood Estimation
- Appendix B: Log-linear Model—An Introduction
- Appendix C: Vector Autoregression Modeling
- C.1 Unit-Root Testing: Are Performance and Marketing Variables Stable or Evolving?
- C.2 Cointegration Tests: Does a Long-Run Equilibrium Exist between Evolving Series?
- C.3 VAR Models: How to Capture the Dynamics in a System of Variables?
- C.4 Impulse-Response Function Derivation
- C.5 Impulse-Response Functions: Mathematical Derivations
- References
- Appendix D: Accelerated Lifetime Model
- Appendix E: Type-1 Tobit Model
- Appendix F: Multinomial Logit Model
- Appendix G: Survival Analysis – An Introduction
- Appendix H: Discrete-Time Hazard
- Appendix I: Proportional Hazards Model
- Appendix J: Random Intercept Model
- Appendix K: Poisson Regression Model
- Appendix L: Negative Binomial Regression
- Appendix M: Estimation of Tobit Model with Selection
- Index
-
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