Abstract #301151

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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.

Back to main JSM 2003 Program page
JSM 2003 Abstract #301151
Activity Number: 107
Type: Invited
Date/Time: Monday, August 4, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics & the Environment
Abstract - #301151
Title: Semiparametric Small Area Estimation with Integrated Natural Resources Data
Author(s): Jay Breidt*+ and Nan-Jung Hsu
Companies: Colorado State University and National Tsing Hua University
Address: 201 Statistics, Fort Collins, CO, 80523-1877,
Keywords: soil core ; natural cubic spline ; mixed model
Abstract:

In some natural resources monitoring applications, sites are selected at random on a landscape, and observations are recorded at multiple depths at each site. Examples include soil, sediment, and ice cores, as well as water column data. Often, the data recorded at a particular depth represent not the instantaneous value at that depth, but the average over some increment at that depth. Such data have, effectively, been presmoothed. A semi-parametric mixed model is developed for such integrated data. The model allows for parametric fixed and random effects as well as a non-parametric depth function, the instantaneous version of which is a natural cubic spline. An estimation methodology based on residual maximum likelihood is developed. Applications to carbon sequestration data, and extensions to small area estimation, are discussed.

  • 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 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003