中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Uniform designs for mixture-amount experiments and for mixture experiments under order restrictions

文献类型:期刊论文

作者Tian, GL; Fang, KT
刊名SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY
出版日期1999-05-01
卷号42期号:5页码:456-470
关键词discrepancy isotonic restriction Monte Carlo optimization multivariate distribution uniform design
ISSN号1006-9283
英文摘要With order statistics of the uniform distribution on [0,1], exponential and beta distributions, a stochastic representation is obtained for the uniform distribution over various domains, where A-type domains are closely associated with reliability growth analysis, order restricted statistical inference and isotonic regression theory, V-type domains are connected with the mixture-amount experiments, and T-type domains are well related to mixture experiments. With these stochastic representations, the corresponding uniform distribution and number-theoretic nets can be generated. This approach seems to be new and is called order statistics method. Some examples on reliability growth analysis and experimental design are presented.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000081220100002
出版者SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/14270]  
专题中国科学院数学与系统科学研究院
通讯作者Tian, GL
作者单位1.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
2.Hong Kong Baptist Univ, Hong Kong, Hong Kong
推荐引用方式
GB/T 7714
Tian, GL,Fang, KT. Uniform designs for mixture-amount experiments and for mixture experiments under order restrictions[J]. SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY,1999,42(5):456-470.
APA Tian, GL,&Fang, KT.(1999).Uniform designs for mixture-amount experiments and for mixture experiments under order restrictions.SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY,42(5),456-470.
MLA Tian, GL,et al."Uniform designs for mixture-amount experiments and for mixture experiments under order restrictions".SCIENCE IN CHINA SERIES A-MATHEMATICS PHYSICS ASTRONOMY 42.5(1999):456-470.

入库方式: OAI收割

来源:数学与系统科学研究院

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