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|Title:||Prediction of men's shirt pattern based on 3D body measurements|
Multiple regression analysis
|Publisher:||Emerald Group Publishing Limited|
|Source:||International journal of clothing science and technology, 2005, v. 17, no. 2, p. 100-108 How to cite?|
|Journal:||International journal of clothing science and technology|
|Abstract:||Purpose – The paper discusses the prediction of shirt patterns for different body sizes using multiple linear regression (MLR).|
Design/methodology/approach – A total of 29 pattern parameters from men's tailor‐made shirt and 34 body parameters obtained from a body scanner were designed for analysis. MLR has been applied to examine the underlying relationship between shirt pattern parameters and body measurements.
Findings– Compared with formulae from the pattern expert, the prediction of shirt pattern from MLR has been improved.
Originality/value – The findings could help to predict pattern size with different body sizes more accurately.
|Appears in Collections:||Journal/Magazine Article|
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Citations as of Mar 23, 2017
Checked on Mar 19, 2017
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