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Characterizations in a random record model with a nonidentically distributed initial record

机译:具有不相同分布的初始记录的随机记录模型中的特征

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摘要

We consider a sequence, of random length M, of independent, continuous observations X-i, 1 <= i <= M, where M is geometric, X-1 has cumulative distribution function (CDF) G, and X-i, i >= 2, have CDF F. Let N be the number of upper records and let R-n, n >= 1, be the nth record value. We show that N is independent of F if and only if G (x) = Go (F (x)) for some CDF G(0), and that if E(vertical bar X-2 vertical bar) is finite then so is E(vertical bar R-n vertical bar), n >= 2, whenever N > n or N = n. We prove that the distribution of N, along with appropriately chosen subsequences of E(R-n), characterize IT and G and, along with subsequences of E(R-n - Rn-1), characterize F and G up to a common location shift. We discuss some applications to the identification of the wage offer distribution in job search models.
机译:我们考虑一个随机长度为M的序列,该序列具有独立的连续观测值Xi,1 <= i <= M,其中M为几何,X-1具有累积分布函数(CDF)G,而Xi,i> = 2,令N为高位记录的数量,令Rn,n> = 1为第n个记录值。我们证明当且仅当某些CDF G(0)的G(x)= Go(F(x))时,N与F无关,并且如果E(垂直线X-2垂直线)是有限的,那么N也与F无关。 E(垂直条Rn垂直条),每当N> n或N = n时,n> = 2。我们证明N的分布,以及适当选择的E(R-n)子序列,表征IT和G,并且连同E(R-n-Rn-1)的子序列,表征F和G,直到一个共同的位置偏移。我们讨论了在求职模型中确定工资分配的一些应用。

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