This is a preview. Log in through your library . Abstract Let Y1, Y2,⋯, be a sequence of independent, identically distributed random variables, g some symmetric 0-1 function of m variables and set ...
Let $X_{t},\ t\dot{\in }Z^{m}$, be a Markov random field assuming values in RM. Let In be a rectangular box in Zm with its center at 0 and corner points with ...
Studies axioms, counting formulas, conditional probability, independence, random variables, continuous and discrete distribution, expectation, moment generating functions, law of large numbers, ...
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