Abstract Details
|
Activity Number:
|
376
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 6, 2013 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #309404 |
|
Title:
|
Generalized P-Value in Regression Analysis
|
|
Author(s):
|
Seray Mankir*+ and Berna Yazici
|
|
Companies:
|
Anadolu Un. Science Faculty and Anadolu University
|
|
Keywords:
|
generalized p value ;
heteroscedasticity ;
assumption violation
|
|
Abstract:
|
In regression analysis, in case of comparing two regression lines under heteroscedasticity, generalized p values approach may be used. The generalized p-value is an extended version of the classical p-value which provides only approximate solutions. Generalized p value provides accurate solutions when not only explaining relevant parameter but also the nuisance parameter. In this study, the generalized p value - which may be used alternatively when different assumptions aren't fulfilled - is researched theoretically; the suitable simulation program is written and an application study is given.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
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.