Internet Traffic Tends Toward Poisson and Independent as the Load Increases   Nonlinear Estimation and Classification , eds. C. Holmes, D. Denison, M. Hansen, B. Yu, and B. Mallick, Springer, New York, 2002. Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun
[compressed postscript]     [pdf]      

Internet Traffic: Statistical Multiplexing Gains   DIMACS Workshop on Internet and WWW Measurement, Mapping and Modeling, 2002 Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun [postscript]     [pdf]      

S-Net: A Software System for Analyzing Packet Header Databases,   Proc. Passive and Active Measurement, 34-44, 2002 Jin Cao, William S. Cleveland, and Don X. Sun [compressed postscript]     [pdf]      

The Effect of Statistical Multiplexing on the Long Range Dependence of Internet Packet Traffic,   Bell Labs Tech Report, 2002
Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun [compressed postscript]     [pdf]     [extended abstract: postscript]     [extended abstract: pdf]      

On the Nonstationarity of Internet Traffic,   Proc. ACM SIGMETRICS `01, 102-112, 2001 Jin Cao, William S. Cleveland, Dong Lin, and Don X. Sun [compressed postscript]     [pdf]      

IP Packet Generation: Statistical Models for TCP Start Times Based on Connection-Rate Superposition,   Proc. ACM SIGMETRICS `00, 166-177, 2000 William S. Cleveland, Dong Lin, and Don X. Sun [compressed postscript]     [pdf]      

Internet Traffic Data,   Journal of the American Statistical Association, 95, 979-985, 2000. Reprinted in Statistics in the 21st Century, edited by A. E. Raftery, M. A. Tanner, and M. T. Wells, Chapman & Hall/CRC, New York, 2002. William S. Cleveland and Don X. Sun. [compressed postscript]     [pdf]      

Random Scale Effects. W. S. Cleveland, L. Denby, and C. Liu (2002). Technical Report, Bell Labs. [postscript]   [pdf]

Random Location and Scale Effects: Model Building Methods for a General Class of Models . W. S. Cleveland, L. Denby, and C. Liu (2000). Computing Science and Statistics, 32, 3-10, edited by E. J. Wegman and Y. M. Martinez, Interface Foundations of North America 32, to appear. [postscript] [pdf]

Modeling Customer Survey Data . L. Clark, W. S. Cleveland, L. Denby, and C. Liu (1999). Case Studies in Bayesian Statistics IV edited by C. Gatsonis, R.E. Kass, A. Carriquiry, A. Gelman, I. Verdinelli, and M. West, pages 3-57, Springer, New York. [postscript]

Maximum Likelihood Estimation of Sum-Difference Time Series Models Using the EM Algorithm . W. S. Cleveland and C. Liu (to appear). Statistica Sinica [postscript]   [pdf]

Comments on Approache Graphique en Analyze des Donn\'ees by Jean-Paul Valois, . W. S. Cleveland(2001). Journal de la Societe Francaise de Statistique, 141, 43-44. [postscript]   [pdf]

Competitive Profiling Displays: Multivariate Graphs for Customer Satisfaction Survey Data. L. A. Clark, W. S. Cleveland, L. Denby, and C. Liu (1999). Marketing Research , 11:25-33. [postscript].

Trellis Display: Modeling Data from Designed Experiments. W. S. Cleveland and M. Fuentes (1997). Technical Report, Bell Labs. [black &white postscript], [color postscript].

Trellis Graphics User's Manual. R. A. Becker and W. S. Cleveland (1996). MathSoft, Inc. [color postscript]   [black&white postscript]   [color pdf]

The Visual Design and Control of Trellis Display. R. A. Becker, W. S. Cleveland, and M. J. Shyu (1996). Journal of Computational and Statistical Graphics, 5:123-155. [black&white postscript],   [color postscript]

A Tour of Trellis Display. R. A. Becker, W. S. Cleveland, M. J. Shyu, and S. Kaluzny (1995). Technical Report, Bell Labs. [black&white postscript],   [color postscript]

Trellis Display: Questions and Answers. R. A. Becker, W. S. Cleveland, and M. J. Shyu (1995). Technical Report, Bell Labs. [black&white postscript]

Smoothing by Local Regression: Principles and Methods. W. S. Cleveland and C. L. Loader (1996). In W. Haerdle and M. G. Schimek, editors, Statistical Theory and Computational Aspects of Smoothing, pages 10-49. Springer, New York. [postscript] [pdf]

Rejoinder to Discussion of ``Smoothing by Local Regression: Principles and Methods''. W. S. Cleveland and C. L. Loader (1996). In W. Härdle and M. G. Schimek, editors, Statistical Theory and Computational Aspects of Smoothing, pages 113-120. Springer, New York. [postscript] [pdf]

Smoothing by Local Fitting: Various Issues Stimulated by a Paper of Fan and Marron. W. S. Cleveland and C. L. Loader (1994). Technical Report, Bell Labs. [black&white postscript]

A Package of C and Fortran Routines for Fitting Local Regression Models: Loess User's Manual . W. S. Cleveland, Eric Grosse, and Ming-Jen Shyu. Technical Report, Bell Labs. [black&white postscript]