Application of a Weierstrass Theorem to the Convergence of Moments
Canadian mathematical bulletin, Tome 12 (1969) no. 1, pp. 86-90
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In this note we apply a well-known theorem due to Weierstrass to show that under certain conditions convergence in distribution of a sequence of distribution functions implies the convergence of moments.This note may be understood by an undergraduate student who has an introductory course of complex variables and a second course of statistics.
Chan, L.K.; Mead, E.R. Application of a Weierstrass Theorem to the Convergence of Moments. Canadian mathematical bulletin, Tome 12 (1969) no. 1, pp. 86-90. doi: 10.4153/CMB-1969-010-2
@article{10_4153_CMB_1969_010_2,
author = {Chan, L.K. and Mead, E.R.},
title = {Application of a {Weierstrass} {Theorem} to the {Convergence} of {Moments}},
journal = {Canadian mathematical bulletin},
pages = {86--90},
year = {1969},
volume = {12},
number = {1},
doi = {10.4153/CMB-1969-010-2},
url = {http://geodesic.mathdoc.fr/articles/10.4153/CMB-1969-010-2/}
}
TY - JOUR AU - Chan, L.K. AU - Mead, E.R. TI - Application of a Weierstrass Theorem to the Convergence of Moments JO - Canadian mathematical bulletin PY - 1969 SP - 86 EP - 90 VL - 12 IS - 1 UR - http://geodesic.mathdoc.fr/articles/10.4153/CMB-1969-010-2/ DO - 10.4153/CMB-1969-010-2 ID - 10_4153_CMB_1969_010_2 ER -
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