Sumner's conjecture

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In statistics, the concept of a concomitant, also called the induced order statistic, arises when one sorts the members of a random sample according to corresponding values of another random sample.

Let (XiYi), i = 1, . . ., n be a random sample from a bivariate distribution. If the sample is ordered by the Xi, then the Y-variate associated with Xr:n will be denoted by Y[r:n] and termed the concomitant of the rth order statistic.

Suppose the parent bivariate distribution having the cumulative distribution function F(x,y) and its probability density function f(x,y), then the probability density function of rth concomitant Y[r:n] for 1rn is

fY[r:n](y)=fYX(y|x)fXr:n(x)dx

If all (Xi,Yi) are assumed to be i.i.d., then for 1r1<<rkn, the joint density for (Y[r1:n],,Y[rk:n]) is given by

fY[r1:n],,Y[rk:n](y1,,yk)=xkx2i=1kfYX(yi|xi)fXr1:n,,Xrk:n(x1,,xk)dx1dxk

That is, in general, the joint concomitants of order statistics (Y[r1:n],,Y[rk:n]) is dependent, but are conditionally independent given Xr1:n=x1,,Xrk:n=xk for all k where x1xk. The conditional distribution of the joint concomitants can be derived from the above result by comparing the formula in marginal distribution and hence

fY[r1:n],,Y[rk:n]Xr1:nXrk:n(y1,,yk|x1,,xk)=i=1kfYX(yi|xi)


References

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  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
  • 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

    My blog: http://www.primaboinca.com/view_profile.php?userid=5889534