Maximum Likelihood Estimation of the Parameters of a Power Rule Model Using the Sequential Unconstrained Minimization Technique (SUMT).
Abstract
In this memorandum the author deals with an application of a modified procedure for SUMT to a maximum likelihood estimation problem which arises in the study by SINGPURWALLA (1975) on accelerated life tests. After a short background to this modification, the author defines what is meant by a factorable programming problem. A simple example of how to rewrite a nonlinear equation into factorable form is given, followed by a detailed restatement of maximizing the likelihood function as a factorable programming problem. The procedure is outlined for using the factorable programming interface with SUMT and illustrate its use is illustrated.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 31, 1975
- Accession Number
- ADA012100
Entities
People
- Faiz A. Al-khayyal
Organizations
- George Washington University