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Optimal Two-Choice Stopping on an Exponential Sequence

机译:指数序列上的最优二选停止

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摘要

Let X_1,X_2,... ,X_n be independent and identically distributed with distribution function F. A statistician may choose two X values from the sequence by means of two stopping rules t_1,t_2, with the goal of maximizing E(X_(t_1) v X_(t_2)). We describe the optimal stopping rules and the asymptotic behavior of the optimal expected stopping values, V_n~2, as n → ∞, when F is the exponential distribution. Specifically, we show that lim_(n→∞)(1 — F(V_n~2)) = 1 — e~(-1), and conjecture that this same limit obtains for any F in the (Type Ⅰ) domain of attraction of exp(—e~(-x)).
机译:令X_1,X_2,...,X_n独立且与分布函数F相同地分布。统计学家可以通过两个停止规则t_1,t_2从序列中选择两个X值,目的是使E(X_(t_1 )v X_(t_2))。当F是指数分布时,我们将最优停止规则和最优期望停止值V_n〜2的渐近行为描述为n→∞。具体来说,我们证明lim_(n→∞)(1 — F(V_n〜2))= 1 — e〜(-1),并且猜想对于(I型)吸引域中的任何F都具有相同的极限的exp(-e〜(-x))。

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