|
|
Legend:  = Applied Session,
 = Theme Session,
 = Presenter
Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco
|
|
|
254
|
Tue, 8/5/03, 12:00 PM - 1:50 PM
|
R-Atrium
|
|
Regular Contributed Posters - Contributed - Posters
|
|
Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Graphics, Business & Economics Statistics Section, Section on Bayesian Stat. Sciences
|
|
Chair(s): Todd Ogden, Columbia University
|
|
Poster Topic: Design:
|
|
05:
|
Optimal Quadratic Response Surface Designs for Binomial Data —  Kenneth G. Russell, University of Wollongong
|
|
Poster Topic: Education, training, consulting:
|
|
06:
|
What Statistical Consultants Do: Results of a Survey — Christina M. Gullion, Kaiser Permanente Center for Health Research; Nancy Berman, Harbor-UCLA Medical Center
|
|
07:
|
Making the Writing of JSL Applications Easier — Andy Mauromoustakos, University of Arkansas; Kevin C. Thompson, University of Arkansas
|
|
Poster Topic: Graphics, visualization, computational statistics:
|
|
08:
|
Density Distribution Sunflower Plots — William D. Dupont, Vanderbilt University School of Medicine; W. Dale Plummer, Vanderbilt University School of Medicine
|
|
09:
|
Fitting the Extended Generalized Lambda Distribution (EGLD) to Exercise Science Data — Dwight J. The, Syracuse University
|
|
10:
|
A Comparison of Recent Multiple Outlier Detection Methods for Regression Data — Ali S. Hadi, Cornell University; Nedret Billor, University of Iowa; Gulsen Kiral, Cukirova University
|
|
11:
|
Development of a Web Application for Statistical Analysis — Juan Soto, National Institute of Standards and Technology
|
|
12:
|
On Tests for Proportion — Wei-Min Huang, Lehigh University
|
|
13:
|
Generating Random Data with Specific Moments — Donald W. McCormack, Sematech
|
|
Poster Topic: Semiparametric, nonparametric, and resampling methods:
|
|
14:
|
Bartlett Correction for the LR Test in Cointegrating Models: A Bootstrap Approach — Alessandra Canepa, University of Southampton Highfield
|
|
Poster Topic: Linear models, GLMs, parametric methods:
|
|
15:
|
A Comparison of the Usefulness of SSW and SST Structure Coefficients for Identifying Variable Importance in Descriptive Discriminant Analysis Following a Significant MANOVA: Examination of the Two-group Case — Mercedes Schneider, Ball State University
|
|
16:
|
Free Power Software for Repeated Measures, MANOVA, and Some Mixed Linear Models Using SAS/IML (r) — Jacqueline L. Johnson, UNC; James C. Slaughter, University of North Carolina; Keith E. Muller, University of North Carolina, Chapel Hill
|
|
Poster Topic: Probability, mathematicial statistics, stochastic processes:
|
|
17:
|
Neural Network Algorithms and Their Performances — Morteza Marzjarani, Saginaw Valley State University
|
|
Poster Topic: Biometrics, biostatistics, epidemiology:
|
|
18:
|
Implementation and Performance of Categorical Data Analysis Methods and Exact Procedures in Six Statistical Software Packages — Robert A. Oster, University of Alabama, Birmingham; Joseph M. Hilbe
|
|
Poster Topic: Bayesian statistics, hierarchical models:
|
|
19:
|
Bayesian Order-Constrained Analysis of Decision-Making Behavior — In Jae Myung, The Ohio State University; George Karabatsos, University of Illinois, Chicago
|
|
20:
|
Bayesian Approaches for Testing Additivity Axioms — George Karabatsos, University of Illinois, Chicago; In Jae Myung, The Ohio State University
|
|
21:
|
Nonparametric Bayesian Modeling for Multivariate Ordinal Data — Fernando A. Quintana, Pontificia Universidad Catolica de Chile; Athanasios Kottas, University of California, Santa Cruz; Peter Mueller, University of Texas M.D. Anderson Cancer Center
|
|
22:
|
Robust Bayesian Factor Analysis — Kentaro Hayashi, Georgia State University; Ke-Hai Yuan, University of Notre Dame
|
|
23:
|
A Look Back at Joined Line Segment Models With Regard to Urinary Estrogens — Julia A. Norton, California State University
|
|
24:
|
Bayesian Method Applied to Loss Models — Suzanne Grimes, Sam Houston State University; Ferry Butar Butar, Sam Houston State University
|
|
25:
|
Bayesian Neural Networks for Bivariate Binary Data: An Application to Prostate Cancer Study — Sounak Chakraborty, University of Florida; Malay Ghosh, University of Florida; Tapabrata Maiti, Iowa State University
|
|
26:
|
Bayesian Analysis of Two-Piece Normal Regression Models — Teruo Nakatsuma, Keio University
|
| |
