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Statistics & Probability Letters
Article . 2006 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A note on moment generating functions

Authors: Department of Mathematics, University of South Florida, Tampa, FL 33620-5700, USA ( host institution ); Mukherjea, A. ( author ); Rao, M. ( author ); Suen, S. ( author );

A note on moment generating functions

Abstract

Abstract In this note, we show that if a sequence of moment generating functions M n ( t ) converges pointwise to a moment generating function M ( t ) for all t in some open interval of R, not necessarily containing the origin, then the distribution functions F n (corresponding to M n ) converge weakly to the distribution function F (corresponding to M). The proof uses the basic classical result of Curtiss [1942. A note on the theory of moment generating functions. Ann. Math. Statist. 13 (4), 430–433].

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Average
Green