Majorization bounds for distribution functions
For a univariate distribution function (cdf) the upper and lower bounds expressed in terms of mixtures of cdf’s of order statistics are obtained. For a bivariate cdf, similar bounds, expressed in terms of mixtures of joint cdf’s of order statistics and their concomitants, are given. It is shown that these bounds converge to the corresponding cdf.
Volume (Year): 82 (2012)
Issue (Month): 10 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:82:y:2012:i:10:p:1799-1806. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.