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Paper Information

Journal:   JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)   MARCH 2007 , Volume 6 , Number 1; Page(s) 1 To 16.
 
Paper: 

OUTER AND INNER CONFIDENCE INTERVALS BASED ON EXTREME ORDER STATISTICS IN A PROPORTIONAL HAZARD MODEL

 
 
Author(s):  AHMADI JAFAR, RAZMKHAH M.
 
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Abstract: 

Let Mi and M'i be the maximum and minimum of the ith sample from k independent sample with different sample sizes, respectively. Suppose that the survival distribution function of the ith sample is Fi=Fai, where ai is known and positive constant. It is shown that how various exact non-parametric inferential procedures can be developed on the basis of Mi’s and Mi’s for distribution function F without any assumptions about it other than F is continuous. These include outer and inner confidence intervals for quantile intervals and upper and lower confidence limits for quantile differences.
Three schemes have been investigated and in each case, the associated confidence coefficients are obtained. A numerical example is given in order to illustrate the proposed procedure.

 
Keyword(s): COVERAGE PROBABILITY, PROPORTIONAL HAZARD MODEL, QUANTILE DIFFERENCE, QUANTILE INTERVAL, TOLERANCE INTERVAL
 
 
References: 
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Click to Cite.
APA: Copy

AHMADI, J., & RAZMKHAH, M. (2007). OUTER AND INNER CONFIDENCE INTERVALS BASED ON EXTREME ORDER STATISTICS IN A PROPORTIONAL HAZARD MODEL. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 6(1), 1-16. https://www.sid.ir/en/journal/ViewPaper.aspx?id=101556



Vancouver: Copy

AHMADI JAFAR, RAZMKHAH M.. OUTER AND INNER CONFIDENCE INTERVALS BASED ON EXTREME ORDER STATISTICS IN A PROPORTIONAL HAZARD MODEL. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS). 2007 [cited 2021May10];6(1):1-16. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101556



IEEE: Copy

AHMADI, J., RAZMKHAH, M., 2007. OUTER AND INNER CONFIDENCE INTERVALS BASED ON EXTREME ORDER STATISTICS IN A PROPORTIONAL HAZARD MODEL. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), [online] 6(1), pp.1-16. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=101556.



 
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