JSM 2005 - Toronto

Abstract #303935

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 401
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: General Methodology
Abstract - #303935
Title: Improving the Delta Method for Nonlinear Functions
Author(s): Paul Duty*+ and Nancy Flournoy
Companies: University of Missouri, Columbia and University of Missouri, Columbia
Address: 1301 S Old 63, Columbia, MO, 65201, United States
Keywords: Confidence interval estimation ; Coverage improvement ; Statistical Theory ; Logistic model ; quantal estimation ; quantile estimation
Abstract:

Confidence intervals for nonlinear functions frequently suffer from undercoverage. We propose a new strategy called the Composition Method, of which the Delta Method is a special case. The Composition Method can produce asymmetric intervals, which is helpful for increasing coverage of nonlinear functions of parameters. We describe the theory underlying this method and show its application to examples, including estimating the coefficient of variation, a quantal of a dose-response function, and the quantiles of several distribution functions.


  • 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 2005 program

JSM 2005 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.
Revised March 2005