A note on gaps in proofs of central limit theorems

Mathematics/Statistics
Author

CAN Biscio, A Poinas, R Waagepetersen

Published

2018

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.