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Linear combination of concomitants of order statistics with application to testing and estimation
Authors:Shie-Shien Yang
Institution:(1) Kansas State University, Kansas, USA
Abstract:Summary Let (X 1,Y 1), (X 2,Y 2),…, (X n,Y n) be i.i.d. as (X, Y). TheY-variate paired with therth orderedX-variateX rn is denoted byY rn and terms the concomitant of therth order statistic. Statistics of the form 
$$T_n  = n^{ - 1} \sum\limits_{i = 1}^n {J\left( {t_{ni} } \right)} Y_{in} $$
are considered. The asymptotic normality ofT n is established. The asymptotic results are used to test univariate and bivariate normality, to test independence and linearity ofX andY, and to estimate regression coefficient based on complete and censored samples.
Keywords:Primary 62E20  62G30  Secondary 60F05  62E15  62G05  62G10
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