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Statistical Problems Related to Irrational Rotations

机译:与非理性旋转有关的统计问题

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Let $xi_i := lfloor ialpha + betarfloor - lfloor (i - 1)alpha+betarfloorquad(i=1,2,ldots,m)$ be random variables as functions of β in the probability space [0,1) with the Lebesgue measure, where $alpha in [0,1]$ is considered to be an unknown parameter which we want to estimate from the observation ξ :=ξ1, ξ2...ξ m . Let an observation ξ be given, which is a finite Sturmian sequence. We determine the likelihood function P α(ξ) as a function of parameter α, and obtain the maximum likelihood estimator $hat{alpha}(xi)$ as the relative frequency of 1s in a minimal cycle of ξ, where a factor η of ξ is called a minimal cycle if ξ is a factor of η∞ and η has the minimum length among them. We also obtain a minimum sufficient statistics. The sample mean (ξ1 + ξ2 + ... + ξ m )/m which is an unbiased estimator of α is not admissible if m=6 or m ≥ 8 since it is not based on the minimum sufficient statistics.
机译:令$ xi_i:= lfloor ialpha + betarfloor-lfloor(i-1)alpha + betarfloorquad(i = 1,2,ldots,m)$是随机变量作为Lebesgue概率空间[0,1)中β的函数度量,其中[0,1] $中的$ alpha被认为是未知参数,我们希望根据观测值ξ:=ξ1,ξ2 ...ξm 。给出观测ξ,它是一个有限的Sturmian序列。我们确定似然函数Pα(ξ)作为参数α的函数,并获得最大似然估计量$ hat {alpha}(xi)$作为ξ的最小周期中1s的相对频率,其中如果ξ是η∞且η在其中具有最小长度,则ξ的η因子称为最小循环。我们还获得了至少足够的统计数据。如果m = 6或m≥8,则样本均值(ξ1 +ξ2 + ... +ξm )/ m为α的无偏估计量是不可接受的。不基于最低的足够统计量。

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