JSM 2013 Home
Online Program Home
My Program

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Activity Details

698 Thu, 8/8/2013, 10:30 AM - 12:20 PM CC-512h
Advances in Measurement, Modeling, and Inferences — Contributed Papers
SSC , Korean International Statistical Society
Chair(s): Yogendra P. Chaubey, Concordia University
10:35 AM Shrinkage Estimation and Lasso in Linear Model with Unknown Change-Points Fuqi Chen, University of Windsor ; Sévérien Nkurunziza, The University of Windsor
10:50 AM Average Width Optimality of Simultaneous Confidence Bands in Simple Linear Regression Jianan Peng, Acadia University
11:05 AM Techniques for the Construction of Robust Regression Designs Maryam Daemi, University of Alberta ; Douglas P. Wiens, University of Alberta
11:20 AM A Formal Test for Binary R&R Measurement System Vahid Partovi Nia, École Polytechnique Montréal ; Masoud Asgharian, McGill University ; Samuel Basetto, Ecole Polytechnique de Montreal
11:35 AM Bayesian Clustering Using MCMC Sampling Mahroo Vahidpour, Polytechnique Montréal ; Vahid Partovi Nia, École Polytechnique Montréal
11:50 AM Imprecise Truncated Poisson Regression for Predictive Inference Chel Hee Lee, University of Saskatchewan ; Mikelis Bickis, University of Saskatchewan
12:05 PM The Skew Generalized Secant Hyperbolic Extension (SGSHE): An Introduction David Vaughan, Wilfrid Laurier Univ

2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.