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Estimation of Hard-to-Measure Measurements in Anthropometric Surveys
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 Title & Authors
Estimation of Hard-to-Measure Measurements in Anthropometric Surveys
Choi, Jong-Hoo; Kim, Ryu-Jin;
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 Abstract
Anthropometric survey is important as a basis for human engineering fields. According to our experiences, there are difficulties in obtaining the measurements of some body parts because respondents are reluctant to expose. In order to overcome these difficulties, we propose a method for estimating such hard-to-measure measurements by using easy-to-measure measurements those are closely related to them. Multiple Regression Model, Feedforward Neural Network(FNN) Model and Projection Pursuit Regression(PPR) Model will be used as analytical tools for this purpose. The method we propose will be illustrated with real data from the 1992 Korea national anthropometric survey.
 Keywords
Anthropometric survey;hard-to-measure measurements;Feedforward Neural Network Model;Projection Pursuit Regression Model;
 Language
English
 Cited by
 References
1.
산업제품의 표준치 설정을 위한 국민표준체위조사 보고서, KRISS-97-114-IR, 1997. vol.9.

2.
산업제품의 표준치 설정을 위한 국민표준체위조사 보고서, KRISS-92-144-IR, 1992.

3.
인간공학 - 작업경제학, 1993.

4.
Data Analysis, 1999. vol.1. 1, pp.29-36

5.
Data Mining Techniques For Marketing, Sales, and Customer Support, 1997.

6.
Sonderforschungsbereich, 1998. vol.373.

7.
Self-Organizing Maps(3rd Ed.), 2001.