The distribution function of a random vector ((xi, eta)) is of the form: (a) (F(x, y)=F_{1}(x) F_{2}(y)+F_{3}(x));

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The distribution function of a random vector \((\xi, \eta)\) is of the form:

(a) \(F(x, y)=F_{1}(x) F_{2}(y)+F_{3}(x)\);

(b) \(F(x, y)=F_{1}(x) F_{2}(y)+F_{3}(x)+F_{4}(y)\).

Can the functions \(F_{3}(x)\) and \(F_{4}(x)\) be arbitrary? Are the components of the vector \((\xi, \eta\) ) dependent or independent?

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Theory Of Probability

ISBN: 9781351408585

6th Edition

Authors: Boris V Gnedenko

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