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On Inequalities for Probabilities of Joint Occurrence of Several Events

机译:关于若干事件联合发生概率的不等式

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Inequalities for probabilities of joint occurrence of several events are important in combinatorial analysis, probability theory, and many applications. This paper describes a method for constructing upper and lower bounds for probabilities of simultaneous occurrence of r out of n events. The method uses different representations of the probabilities as sums and estimates the terms separately. This yields inequalities that are more accurate than the earlier bounds and corresponding to trivial representations. The resulting new inequalities are optimal. There are examples showing that these inequalities can become equalities. Similar inequalities have been proven for conditional probabilities of corresponding events with respect to some σ-field. Averaging of both sides of inequalities for conditional probabilities can yield more accurate bounds of unconditional probabilities.
机译:联合发生的概率的不平等性在组合分析,概率理论和许多应用中都很重要。 本文介绍了一种构建上下界的方法,用于N个事件中的同时发生的概率。 该方法使用概率的不同表示作为总和,并分别估计术语。 这产生的不平等性比先前的界限更准确,并且对应于微不足道的表示。 由此产生的新不等式是最佳的。 有实例表明这些不等式可以成为平等。 对于一些关于一些Σ场的相应事件的条件概率已经证明了类似的不等式。 条件概率的不平等双方的平均可以产生更准确的无条件概率的范围。

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