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arXiv 1006.3531math.PR
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与息票收集者问题有关的逼近定理

Approximation Theorems Related to the Coupon Collector's Problem

Anna Pósfai

摘要:

这个博士本论文涉及经典的优惠券收集器问题的版本,当收集器以替换方式对一组$n\ge 2$不同的优惠券进行采样,使得每次以相同的概率$1/n$抽取任何一个$n$优惠券时。对于固定整数$m\in\{0,1,...,n-1\}$,优惠券收集者的等待时间$W_{n,m}$是收集者在第一次获得$n-m$不同优惠券之前执行的随机抽取次数。论文的基本目标是近似分布的优惠券收集器的适当集中和归一化的等待时间与众所周知的措施,具有高精度,并在许多情况下证明渐近展开的相关概率分布函数和质量函数。从五个不同的测度族中选择近似测度。其中三个-泊松分布,正态分布和Gumbel-like分布-是概率测度族,其成员作为极限定律出现在关于$W_{n,m}$的极限定理中。另外两个逼近测度族是某些复合泊松分布和Poisson-Charlier符号测度。

英文摘要:

This Ph.D. thesis concerns the version of the classical coupon collector's problem, when a collector samples with replacement a set of $n\ge 2$ distinct coupons so that at each time any one of the $n$ coupons is drawn with the same probability $1/n$. For a fixed integer $m\in\{0,1,...,n-1\}$, the coupon collector's waiting time $W_{n,m}$ is the random number of draws the collector performs until he acquires $n-m$ distinct coupons for the first time. The basic goal of the thesis is to approximate the distribution of the coupon collector's appropriately centered and normalized waiting time with well-known measures with high accuracy, and in many cases prove asymptotic expansions for the related probability distribution functions and mass functions. The approximating measures are chosen from five different measure families. Three of them -- the Poisson distributions, the normal distributions and the Gumbel-like distributions -- are probability measure families whose members occur as limiting laws in the limit theorems concerning $W_{n,m}$. The other two approximating measure families are certain compound Poisson distributions and Poisson--Charlier signed measures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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