By Yasui Y.

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**Extra info for A statistical method for the estimation of window-period risk of transfusion-transmitted HIV in dono**

**Sample text**

Dx/ < 1. The Jacobi parameters m D m . / 0; ˇm D ˇm . dx/ D 0 if m ¤ n: 0 is a sequence of R A measure is supported on m points iff m 1 D 0 and n > 0 for n D 0; : : : ; m 2. The Cauchy transform may be expressed as a continued fraction in terms of the Jacobi parameters, as follows. dt/ D 0 z t 1 z ˇ0 1 z ˇ1 z ˇ2 An important example for this paper is the Bernoulli distribution 12 ı 1 C 12 ı1 for which ˇ0 D 0; 0 D 1; and ˇn D n D 0 for n 1. z/ D 1 : z 1=z In the case when has 2n C 2-moments we can still make an orthogonalization procedure until the level n.

The calculations are similar but slightly more involved. 1 p/ Ä 1 C p C . 1 C p C . n 5 . 1 C 6n 1=5 /. 1 p/x Ä n x 6n11=20 for all x 2 Œ; t . 25=2/n1=10 : Now suppose that jUt j < n t n11=20 for all t 2 Œ; t . 5 there is i < t such that Di D ; and jDiC1 j > n t jUt j > n11=20 . 10) (III) Let N be the number of vertices which remain undiscovered the first time after time t that the search process finishes exploring a component, and write B for the event that some component whose exploration starts after time t has size greater than 21n4=5 .

Z/ 1g and thus, since 1 ! 0 and ˇ1 ! z/ ! 0. z/ ! z/ 1 z ; 1g, which then implies the weakly convergence n ! b. 1).

### A statistical method for the estimation of window-period risk of transfusion-transmitted HIV in dono by Yasui Y.

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