Article ID Journal Published Year Pages File Type
7548589 Statistics & Probability Letters 2018 4 Pages PDF
Abstract
We fill two gaps in the literature on central limit theorems. First we state and prove a generalization of the Cramér-Wold device which is useful for establishing multivariate central limit theorems without the need for assuming the existence of a limiting covariance matrix. Second we extend and provide a detailed proof of a very useful result for establishing univariate central limit theorems.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Authors
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