An empirical study of a reformulation of the cumulative average learning curve.
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Authors
Jenkins, David George
Subjects
learning curve
linear regression
non-linear regression
autocorrelation
linear regression
non-linear regression
autocorrelation
Advisors
Boger, Dan C.
Date of Issue
1986-03
Date
March 1986
Publisher
Language
en_US
Abstract
One aspect of efficient management of resources that cannot be overstated is accurate cost estimation. The learning curve technique used in cost estimation continues to be a significant tool by itself and as an important factor in other cost estimation algorithms. This study conducts an empirical investigation of a theoretical reformulation of the cumulative average learning curve. The model is empirically corroborated by comparison of linear and nonlinear regression results with the classical unit and cumulative average learning curve specifications using two sets of aircraft production data. When autocorrelation was present and subsequently modeled into the data, the resulting linear models were significantly distorted whereas the non-linear models were not. While the model being scrutinized was adequate, the unit learning curve appeared to be the superior model.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
137 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.