Abstract
Convergence of densities implies convergence of their distribution func- tions via Scheffe's theorem. This paper is concerned with the converse: what are sufficient conditions to obtain convergence of densities from convergence of distribution functions? A general lemma is given and local limit results are obtained for translation and scale statistics.
Cite
CITATION STYLE
APA
Boos, D. D. (2007). A Converse to Scheffe’s Theorem. The Annals of Statistics, 13(1). https://doi.org/10.1214/aos/1176346604
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