Generation of cotton fiber length probability density function with length measures
This report describes an investigation into the generation of fiber length distributional function using a limited number of length measurements. Based on the experimental data, the correlation between fiber length statistics (the calculated mean value and variance) and length measures (tested short...
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Published in | Journal of the Textile Institute Vol. 103; no. 2; pp. 225 - 230 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Manchester
Routledge
01.02.2012
Taylor & Francis Ltd |
Subjects | |
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Abstract | This report describes an investigation into the generation of fiber length distributional function using a limited number of length measurements. Based on the experimental data, the correlation between fiber length statistics (the calculated mean value and variance) and length measures (tested short fiber content, span lengths, etc.) was identified by employing the stepwise regression analysis, and this was necessary to describe the location and dispersion of the fiber length distribution. Then, a finite mixture model was adopted to generate the probability density function of fiber length. This paper concludes with a presentation of the approach to determine the probability density function of cotton fiber length. It is shown that the calculated short fiber contents and upper-quartile length from the probability density function fit the experimental values well. |
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AbstractList | This report describes an investigation into the generation of fiber length distributional function using a limited number of length measurements. Based on the experimental data, the correlation between fiber length statistics (the calculated mean value and variance) and length measures (tested short fiber content, span lengths, etc.) was identified by employing the stepwise regression analysis, and this was necessary to describe the location and dispersion of the fiber length distribution. Then, a finite mixture model was adopted to generate the probability density function of fiber length. This paper concludes with a presentation of the approach to determine the probability density function of cotton fiber length. It is shown that the calculated short fiber contents and upper-quartile length from the probability density function fit the experimental values well. |
Author | Yu, Chongwen Lin, Qian Oxenham, William Xing, Mingjie |
Author_xml | – sequence: 1 givenname: Qian surname: Lin fullname: Lin, Qian organization: Key Laboratory of Textile Science and Technology, Ministry of Education , Donghua University – sequence: 2 givenname: Mingjie surname: Xing fullname: Xing, Mingjie organization: College of Textiles and Fashion , Qingdao University – sequence: 3 givenname: William surname: Oxenham fullname: Oxenham, William organization: College of Textiles , NC State University – sequence: 4 givenname: Chongwen surname: Yu fullname: Yu, Chongwen email: yucw@dhu.edu.cn organization: Key Laboratory of Textile Science and Technology, Ministry of Education , Donghua University |
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CitedBy_id | crossref_primary_10_1177_0040517513483860 crossref_primary_10_1080_00405000_2017_1297014 crossref_primary_10_1177_00405175221110112 crossref_primary_10_1080_00405000_2012_754117 crossref_primary_10_1080_00405000_2014_933516 crossref_primary_10_4028_www_scientific_net_AMR_821_822_398 crossref_primary_10_1080_00405000_2014_906102 crossref_primary_10_1016_j_bamboo_2024_100070 |
Cites_doi | 10.1177/0040517508083729 10.1177/004051750207200306 10.1177/004051759606600504 10.1177/004051759106100209 10.1002/0471721182 10.1177/004051754001001203 10.1177/004051759106100103 10.1007/BF02877275 10.1177/0040517506062616 |
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Copyright | Copyright The Textile Institute 2012 Copyright Taylor & Francis Ltd. Feb 2012 |
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References | Thibodeaux D.P. (CIT0010) 2009; 12 Suh W.M. (CIT0009) 1976; 45 CIT0012 CIT0011 Lin Q. (CIT0007) 2008; 29 CIT0003 CIT0014 CIT0013 CIT0005 CIT0004 Cui X. (CIT0001) 2009; 13 CIT0006 Diebolt J. (CIT0002) 1994; 56 CIT0008 |
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SubjectTerms | Cotton Economic models fiber length measures finite mixture model length statistics Probability probability density function stepwise regression Studies |
Title | Generation of cotton fiber length probability density function with length measures |
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