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1.6.2. Properties of a Cumulative Distribution Function. The values F(X) of the distribution function of a discrete random variable X satisfythe conditions 1: F(-?)= 0 and F(?)=1; 2: If a < b, then F(a) ? F(b) for any real numbers a and b 1.6.3. First example of a cumulative distribution function. Consider tossing a coin four times. The possible outcomes are contained in table 1 and the



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Using Problem-Speci?c Knowledge and Learning from Experience in Estimation of Distribution Algorithms Martin Pelikan and Mark W. Hauschild Missouri Estimation of Distribution Algorithms Laboratory (MEDAL)

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