Estimating millions of dynamic timing patterns in real time

Journal of the American Statistical Association

Volumn 96, Issue 453, 2001, Pages 316-330

  Lambert, Diane ^a   Pinheiro, José C ^a   Sun, Don X ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

Customer profile; Day of week data; Event history; Exponentially weighted moving average; Hour of day data; Transaction data

Indexed keywords

EID: 1842765663     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1198/016214501750332884     Document Type: Article

References (7)

1. Abraham, B., and Ledolter, J. (1983), Statistical Methods for Forecasting, New York: Wiley.
2. Becker, R. A., Chambers, J. M., and Wilks, A. R. (1988), The New S Language: A programming Environment for Data Analysis and Graphics, Belmont, CA: Wadsworth.
3. Cahill, M. H., Lambert, D., Pinheiro, J. C., and Sun, D. X. (2000), “Detecting Fraud in the Real World,” Technical Report, Bell Labs, Lucent Technologies.
4. Conover, W. J. (1980), Practical Nonparametrix Statistics, New York: Wiley.
5. Efron, B., and Tibshirani, R. J. (1993), An Introduction to the Bootstrap, New York: Chapman & Hall.
6. MathSoft (1996), Version 3.4 for Unix Supplement, Data Analysis Products, Seattle WA: MathSoft, Inc.
7. West, M., and Harrison, J. (1989), Bayesian Forecasting and Dynamic Models, Berlin: Springer-Verlag.