Annals of Probability

When is the Student $t$-statistic asymptotically standard normal?

Evarist Giné, Friedrich Götze, and David M. Mason

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Let $X, X_i, i \in \mathbb{N}$, be independent, identically distributed random variables. It is shown that the Student $t$-statistic based upon the sample ${X_i}_{i=1}^n$ is asymptotically $N(0, 1)$ if and only if $X$ is in the domain of attraction of the normal law. It is also shown that, for any $X$, if the self-normalized sums $U_n := \sum_{i=1}^n X_i/(\sum_{i=1}^n X_i^2)^{1/2}, n \in \mathbb{N}$, are stochastically bounded then they are uniformly subgaussian that is, $\sup_n \mathbb{E} \exp (\lambda U_n^2) < \infty$ for some $\lambda > 0$.

Article information

Ann. Probab., Volume 25, Number 3 (1997), 1514-1531.

First available in Project Euclid: 18 June 2002

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Zentralblatt MATH identifier

Primary: 60F05: Central limit and other weak theorems 62E20: Asymptotic distribution theory

Student $t$-statistic self-normalized sums domains of attraction convergence of moments


Giné, Evarist; Götze, Friedrich; Mason, David M. When is the Student $t$-statistic asymptotically standard normal?. Ann. Probab. 25 (1997), no. 3, 1514--1531. doi:10.1214/aop/1024404523.

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