| ²é¿´: 908 | »Ø¸´: 4 | |||
zhaoguoxiͳæ (ÕýʽдÊÖ)
|
[ÇóÖú]
ËÄܰïÎÒ¿´¿´ÏÂÃæÎÄÕÂÊÇ·ñ±»Istp(»òEI)ÊÕ¼£¬½ð±Ò10
|
|
title£ºA Coxian-Fitting Method on Heavy-Tailed Data Zhao Guo-xi Department of Mathematics Xinxiang University Xinxiang£¬China 5916021@sina.com Wang Shou-yin Department of Mathematics Xinxiang University Xinxiang£¬ China wangshy06@sina.com Chen Pei-shu Department of Mathematics ChaoHu University ChaoHu£¬ China cps8@sina.comAbstract¡ªThe paper presents a Coxian Fitting problem on Heavy-tailed data and establishes the nonlinear programming model to analyze the related parameter of the Coxian probability distribution. Using genetic algorithm and corresponding iterative steps, we can solve the model. Especially, a distance measure formula is proposed to analyze error resulting from different order and the Coxian distribution with optimal order is found. Simulation with Matlab software indicates that the outcome is good. Keywords: Phase representation; Coxian fitting; genetic algorithm; distance measure |
» ²ÂÄãϲ»¶
¹ú×ÔÈ»ÆÀÉóÒâ¼û
ÒѾÓÐ8È˻ظ´
¹ú×ÔÈ»ÃæÉϸ´ÅÌ~»¶ÓÌÖÂÛ
ÒѾÓÐ14È˻ظ´
ϵͳ²é²»µ½
ÒѾÓÐ11È˻ظ´
ÓжàÉÙÈËÊǽñÌì²éϵͳ֪µÀ½á¹ûµÄ£¿
ÒѾÓÐ18È˻ظ´
Ϊʲô×ÊÖúÊý¸÷´ó¸ßУ¶¼´´Ð¸ߣ¬×Ô¼ºÉêÇëÔõô¾ÍÕâôÄÑ
ÒѾÓÐ12È˻ظ´
ÓÐûÓÐÈÔûÊÕµ½ÐÅÏ¢µÄ
ÒѾÓÐ3È˻ظ´
µ¼Ê¦Í²ۣºÎÒÔõô̯ÉÏÁËÕâô¸ö¼«Æ·Ñо¿Éú£¡
ÒѾÓÐ8È˻ظ´
»ù½ð²»ÖУ¬¹²Ãã
ÒѾÓÐ11È˻ظ´
Â鷳ר¼ÒÃÇ¿´¿´ÆÀίÃǵÄÒâ¼û£¨F¿ÚÃæÉÏ£©
ÒѾÓÐ9È˻ظ´
2026ÄêÒ¶ÆóËï»ù½ð
ÒѾÓÐ6È˻ظ´
» ±¾Ö÷ÌâÏà¹Ø¼ÛÖµÌùÍÆ¼ö£¬¶ÔÄúͬÑùÓаïÖú:
°ï²éѯÎÄÕÂÊÇ·ñISTP£¬EIÊÕ¼£¿
ÒѾÓÐ5È˻ظ´
ËÄܰï²éÏÂICMS2011ÊÇ·ñISTP¼ìË÷ÁË£¿
ÒѾÓÐ8È˻ظ´
°ïæ²éÊÇ·ñISTP¼ìË÷£¬²¢¸ø³ö¼ìË÷±¨¸æ£¬ÉÍ10½ð±Ò
ÒѾÓÐ8È˻ظ´
²éѯÎÄÕÂÊÇ·ñ±»ISTPÊÕ¼ÒÔ¼°ÊÕ¼ºÅ
ÒѾÓÐ3È˻ظ´
ÇëÄÄλ´óÏÀ°ïæ²éһƪÎÄÕÂÊÇ·ñ±»ISTP¼ìË÷
ÒѾÓÐ5È˻ظ´
ÇóÖú°ï²éÒ»ÏÂÁ½ÆªÂÛÎÄÊÇ·ñ±»ISTPÊÕ¼
ÒѾÓÐ7È˻ظ´
°ïæ²éÏÂÎÄÕÂÊÇ·ñ±»ISTPÊÕ¼£¿·Ç³£¸Ðл
ÒѾÓÐ7È˻ظ´
National Meeting of the ACSÊÇ·ñ±»istpÊÕ¼
ÒѾÓÐ7È˻ظ´
°ïÃ¦Çø·ÖÒ»ÏÂISTPºÍSCIÊÕ¼ºÅµÄÇø±ð£¬¿´Ò»ÏÂÕâ¸ö½á¹ûÊÇʲô¼ìË÷
ÒѾÓÐ6È˻ظ´
°ïæ²éѯһÏÂÂÛÎÄÊÇ·ñ±»istp ºÍ ei ÊÕ¼£¿
ÒѾÓÐ4È˻ظ´

shy2400
ľ³æ (ÖøÃûдÊÖ)
- SEPI: 2
- Ó¦Öú: 234 (´óѧÉú)
- ¹ó±ö: 0.196
- ½ð±Ò: 4708.4
- É¢½ð: 253
- ºì»¨: 8
- Ìû×Ó: 1276
- ÔÚÏß: 180.8Сʱ
- ³æºÅ: 990305
- ×¢²á: 2010-04-06
- ÐÔ±ð: GG
- רҵ: ¼ÆËã»úÓ¦Óü¼Êõ

2Â¥2011-10-11 21:41:00
leimiao_hit
ľ³æÖ®Íõ (ÎÄѧ̩¶·)
СԪ
- SEPI: 7
- Ó¦Öú: 1336 (½²Ê¦)
- ¹ó±ö: 0.707
- ½ð±Ò: 113738
- É¢½ð: 12354
- ºì»¨: 385
- ɳ·¢: 888
- Ìû×Ó: 85000
- ÔÚÏß: 6307.5Сʱ
- ³æºÅ: 1264338
- ×¢²á: 2011-04-13
- רҵ: Êß²ËѧÓë¹Ï¹ûѧ

3Â¥2011-10-11 22:16:54
leimiao_hit
ľ³æÖ®Íõ (ÎÄѧ̩¶·)
СԪ
- SEPI: 7
- Ó¦Öú: 1336 (½²Ê¦)
- ¹ó±ö: 0.707
- ½ð±Ò: 113738
- É¢½ð: 12354
- ºì»¨: 385
- ɳ·¢: 888
- Ìû×Ó: 85000
- ÔÚÏß: 6307.5Сʱ
- ³æºÅ: 1264338
- ×¢²á: 2011-04-13
- רҵ: Êß²ËѧÓë¹Ï¹ûѧ

4Â¥2011-10-11 22:43:06
leimiao_hit
ľ³æÖ®Íõ (ÎÄѧ̩¶·)
СԪ
- SEPI: 7
- Ó¦Öú: 1336 (½²Ê¦)
- ¹ó±ö: 0.707
- ½ð±Ò: 113738
- É¢½ð: 12354
- ºì»¨: 385
- ɳ·¢: 888
- Ìû×Ó: 85000
- ÔÚÏß: 6307.5Сʱ
- ³æºÅ: 1264338
- ×¢²á: 2011-04-13
- רҵ: Êß²ËѧÓë¹Ï¹ûѧ

5Â¥2011-10-11 22:43:49









»Ø¸´´ËÂ¥
ͶƱ:
30