The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
69
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Government Statistics
|
| Abstract - #303986 |
|
Title:
|
Inappropriate Use of Statistical Measures in the Name of Balancing Data Quality and Confidentiality of Tabular Format Magnitude Data
|
|
Author(s):
|
Ramesh A Dandekar*+
|
|
Companies:
|
U.S. Energy Information Administration
|
|
Address:
|
8922 Applecross Lane, Springfield, VA, 22153-1201,
|
|
Keywords:
|
L1 norm regression ;
disclosure control ;
tabular data ;
synthetic table
|
|
Abstract:
|
Statisticians are aware of the fact that measures such as: mean, variance, Pearson correlation coefficient are disproportionately influenced by relatively few extremely large observations and, therefore, are unreliable as statistical measures in comparing overall quality of data with an extremely skewed distribution. Tabular data cells follow an extremely skewed distribution. In this paper we show that linear-programming-based controlled tabular adjustments (CTA), which generates synthetic tabular data (Dandekar2001), makes use of a least absolute difference linear regression model and is well-suited to control overall data quality on its own without additional steps proposed by quality preserving controlled tabular adjustments (QP-CTA) that has been heavily promoted to the statistical community since 2003.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 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.