confidencelowerlimitsforresponseprobabilitiesunderthelogisticresponsemodel

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	confidencelowerlimitsforresponseprobabilitiesunderthelogisticresponsemodel
	Tian Yubin 1; Li Guoying 2; Yang Jie 1
	2004-01-01
发表期刊	journalofsystemsscienceandcomplexity
ISSN	1009-6124
卷号	017 期号:002 页码:289
摘要	The lower confidence limits for response probabilities based on binary response data under the logistic response model are considered by saddlepoint approach.The high order approximation to the conditional distribution of a statistic for an interested parameter and then the lower confidence limits of response probabilities are derived.A simulation comparing these lower confidence limits with those obtained from the asymptotic normality is conducted.The proposed approximation is applied to two real data sets.Numerical results show that the saddlepoint approximations are much more accurate than the asymptotic normality approximations,especially for the cases of small or moderate sample sizes.
语种	英语
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/40381
专题	中国科学院数学与系统科学研究院
作者单位	1.北京理工大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Tian Yubin,Li Guoying,Yang Jie. confidencelowerlimitsforresponseprobabilitiesunderthelogisticresponsemodel[J]. journalofsystemsscienceandcomplexity,2004,017(002):289.
APA	Tian Yubin,Li Guoying,&Yang Jie.(2004).confidencelowerlimitsforresponseprobabilitiesunderthelogisticresponsemodel.journalofsystemsscienceandcomplexity,017(002),289.
MLA	Tian Yubin,et al."confidencelowerlimitsforresponseprobabilitiesunderthelogisticresponsemodel".journalofsystemsscienceandcomplexity 017.002(2004):289.