F eb 2 01 0 Variations on the Berry - Esseen theorem
نویسنده
چکیده
Suppose that X1, . . . ,Xn are independent, identically-distributed random variables of mean zero and variance one. Assume that E|X1| ≤ δ4. We observe that there exist many choices of coefficients θ1, . . . , θn ∈ R with ∑ j θ 2 j = 1 for which sup α,β∈R α<β ∣∣∣∣∣ P α ≤ n ∑ j=1 θjXj ≤ β − 1 √ 2π ∫ β α e−t 2/2dt ∣∣∣∣∣ ≤ Cδ 4 n , (1) where C > 0 is a universal constant. Inequality (1) should be compared with the classical Berry-Esseen theorem, according to which the left-hand side of (1) may decay with n at the slower rate of O(1/ √ n), for the unit vector θ = (1, . . . , 1)/ √ n. An explicit, universal example for coefficients θ = (θ1, . . . , θn) for which (1) holds is θ = (1, √ 2,−1,− √ 2, 1, √ 2,−1,− √ 2, · · · ) /√ 3n/2 when n is divisible by four. Parts of the argument are applicable also in the more general case, in whichX1, . . . ,Xn are independent random variables of mean zero and variance one, yet they are not necessarily identically distributed. In this general setting, the bound (1) holds with δ4 = n−1 ∑n j=1 E|Xj |4 for most selections of a unit vector θ = (θ1, . . . , θn) ∈ Rn. Here “most” refers to the uniform probability measure on the unit sphere.
منابع مشابه
A Berry-Esseen Type Bound for the Kernel Density Estimator of Length-Biased Data
Length-biased data are widely seen in applications. They are mostly applicable in epidemiological studies or survival analysis in medical researches. Here we aim to propose a Berry-Esseen type bound for the kernel density estimator of this kind of data.The rate of normal convergence in the proposed Berry-Esseen type theorem is shown to be O(n^(-1/6) ) modulo logarithmic term as n tends to infin...
متن کاملA Berry-Esseen Type Bound for a Smoothed Version of Grenander Estimator
In various statistical model, such as density estimation and estimation of regression curves or hazard rates, monotonicity constraints can arise naturally. A frequently encountered problem in nonparametric statistics is to estimate a monotone density function f on a compact interval. A known estimator for density function of f under the restriction that f is decreasing, is Grenander estimator, ...
متن کاملZero Biasing and a Discrete Central Limit Theorem
We introduce a new family of distributions to approximate IP(W ∈ A) for A ⊂ {· · · ,−2,−1, 0, 1, 2, · · · } and W a sum of independent integer-valued random variables ξ1, ξ2, · · · , ξn with finite second moments, where with large probability W is not concentrated on a lattice of span greater than 1. The well-known Berry–Esseen theorem states that for Z a normal random variable with mean IE(W )...
متن کاملAn Inductive Proof of the Berry-Esseen Theorem for Character Ratios Running head: Berry-Esseen Theorem for Character Ratios
Ratios Running head: Berry-Esseen Theorem for Character Ratios Submitted 3/9/05; Revised 8/6/06 By Jason Fulman Department of Mathematics, University of Southern California Los Angeles, CA 90089, USA [email protected] Abstract: Bolthausen used a variation of Stein’s method to give an inductive proof of the Berry-Esseen theorem for sums of independent, identically distributed random variables. We m...
متن کاملAn Inductive Proof of the Berry-Esseen Theorem for Character Ratios
Bolthausen used a variation of Stein's method to give an inductive proof of the Berry-Esseen theorem for sums of independent, identically distributed random variables. We modify this technique to prove a Berry-Esseen theorem for character ratios of a random representation of the symmetric group on transpositions. An analogous result is proved for Jack measure on partitions.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010