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.
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
|
|
Tweet | ||
| 24 * ! | Sun, 8/4/2013, 2:00 PM - 3:50 PM | CC-511e | |
| Seasonal Adjustment at Statistical Agencies — Topic Contributed Papers | |||
| Business and Economic Statistics Section , Scientific and Public Affairs Advisory Committee | |||
| Organizer(s): Tucker S. McElroy, U.S. Census Bureau | |||
| Chair(s): Tucker S. McElroy, U.S. Census Bureau | |||
| 2:05 PM | Comparing Automatic Modeling Procedures for TRAMO+ and X-13ARIMA-SEATS — Brian C. Monsell, U.S. Census Bureau | ||
| 2:25 PM | Data-driven selection criteria for X-13ARIMA-SEATS seasonal adjustment algorithms — Karsten Webel, Deutsche Bundesbank | ||
| 2:45 PM | Seasonal Adjustment in Volatile Economic Situations: Statistics Canada's Experience — Michel Ferland, Statistics Canada ; Susie Fortier, Statistics Canada ; Zdenek Patak, Statistics Canada ; Steve Matthews, Statistics Canada | ||
| 3:05 PM | The End Point of Time Series: Reporting Informatively on Trends — John Crequer, Statistics New Zealand ; Sonya McGlone, Statistics New Zealand ; Giles Reid, Statistics New Zealand ; Richard Penny, Statistics New Zealand | ||
| 3:25 PM | Comparing Maximum Likelihood Estimation with Generalized Prediction Problem Mean-Square Minimization Estimation on Time Series Data — Kevin Tolliver, U.S. Census Bureau ; Tucker S. McElroy, U.S. Census Bureau | ||
| 3:45 PM | Floor Discussion | ||
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.
Copyright © American Statistical Association.