Simultaneous Interpolation and Parameter Estimation.

by William E. Hoehn


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback198 pages $45.00 $36.00 20% Web Discount

Simultaneous interpolation and parameter estimation, a method of maximizing a likelihood function with respect both to parameters and to certain missing observations, is a relatively unexplored area of research. Here, for the single equation case, numerical estimation procedures are given, along with several numerical estimation examples. The theory is also developed for simultaneous equation systems. This study was prepared for submission as a doctoral dissertation to Northwestern University.

This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.