Application of a Weierstrass Theorem to the Convergence of Moments
Canadian mathematical bulletin, Tome 12 (1969) no. 1, pp. 86-90

Voir la notice de l'article provenant de la source Cambridge University Press

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  - 
%0 Journal Article
%A Chan, L.K.
%A Mead, E.R.
%T Application of a Weierstrass Theorem to the Convergence of Moments
%J Canadian mathematical bulletin
%D 1969
%P 86-90
%V 12
%N 1
%U http://geodesic.mathdoc.fr/articles/10.4153/CMB-1969-010-2/
%R 10.4153/CMB-1969-010-2
%F 10_4153_CMB_1969_010_2

[1] 1. Ahlfors, L. V., Complex analysis. (McGraw-Hill, Second Edition, 1966). Google Scholar

[2] 2. Fréchet, M. and Shohat, J., A proof of the generalized second-limit theorem in the theory of probability. Trans. Amer. Math. Soc. 33 (1931) 533–543. Google Scholar

[3] 3. Loéve, M., Probability theory. (Van Nostrand, Second Edition, 1960). Google Scholar

[4] 4. Lukacs, E., Characteristic functions. (Charles Griffin and Co. Ltd.. 1960). Google Scholar

[5] 5. von Bahr, B., On the convergence of moments in the central limit theorem. Ann. Math. Statist. 36 (1965) 808–818. Google Scholar

Cité par Sources :