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Contents of PMS, Vol. 20, Fasc. 2,
pages 287 - 291
 

ON DISTRIBUTIONS OF CONDITIONAL EXPECTATIONS

Adam Paszkiewicz

Abstract: Let F and G be distribution functions on R. Then there exist a random variable X and a s -field U  satisfying P (X  < a) = F(a), P(E(X |U) < a) = G(a) iff  integral    (F (t)- G(t))dt < 0 <  integral    (F (t)- G(t))dt
(a, oo )                    (- oo ,a) for any a  (-  R. The consideration is kept on a rather elementary level.

1991 AMS Mathematics Subject Classification: 60E0S.

Key words and phrases: distribution of random variable, conditional expectation.

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