Application & Evaluation of Composite Estimator on Forest Inventory Data

with ACAS Software Development


Murray Williams, Statistics Department, Colorado State University

Friday, 12 December 2003

10:00 AM

1-7B Wagar Building


Techniques in estimating large-scale forest inventories often require some assessment of misclassification errors between different measurement systems. The Composite Estimator, a statistical technique based on the Kalman Filter and developed by Dr. Ray Czaplewski, provides a means of estimating misclassification errors and bias. From 1994 through 1997 the

ACAS software package was developed at the USDA Forest Service to implement the Composite Estimator. This paper introduces the Composite Estimator, its application, a brief discussion of the ACAS software development, and some of the challenges surrounding its implementation.











College of Natural Sciences




homefor studentspeoplecoursesdistance degreeresearchconsulting seminars resources
PRIMESSTARMAPemail us equal opportunitydisclaimerweb master • last modified: August 11 2003