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. © Emerald Group Publishing Limited.
| Original language | English |
|---|---|
| Pages (from-to) | 100-108 |
| Number of pages | 9 |
| Journal | International Journal of Clothing Science and Technology |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 13 Jun 2005 |
Keywords
- Clothing
- Measurement
- Men
- Multiple regression analysis
- Physical testing
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Materials Science (miscellaneous)
- General Business,Management and Accounting
- Polymers and Plastics