Extremes in multivariate stationary normal sequences
Applicationes Mathematicae, Tome 25 (1999) no. 3, pp. 375-379
Cet article a éte moissonné depuis la source Institute of Mathematics Polish Academy of Sciences
This paper deals with a weak convergence of maximum vectors built on the base of stationary and normal sequences of relatively strongly dependent random vectors. The discussion concentrates on the normality of limits and extends some results of McCormick and Mittal [4] to the multivariate case.
DOI :
10.4064/am-25-3-375-379
Keywords:
stationary normal sequences, extreme order statistics
Affiliations des auteurs :
Mateusz Wiśniewski 1
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author = {Mateusz Wi\'sniewski},
title = {Extremes in multivariate stationary normal sequences},
journal = {Applicationes Mathematicae},
pages = {375--379},
year = {1999},
volume = {25},
number = {3},
doi = {10.4064/am-25-3-375-379},
zbl = {0998.60052},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am-25-3-375-379/}
}
TY - JOUR AU - Mateusz Wiśniewski TI - Extremes in multivariate stationary normal sequences JO - Applicationes Mathematicae PY - 1999 SP - 375 EP - 379 VL - 25 IS - 3 UR - http://geodesic.mathdoc.fr/articles/10.4064/am-25-3-375-379/ DO - 10.4064/am-25-3-375-379 LA - en ID - 10_4064_am_25_3_375_379 ER -
Mateusz Wiśniewski. Extremes in multivariate stationary normal sequences. Applicationes Mathematicae, Tome 25 (1999) no. 3, pp. 375-379. doi: 10.4064/am-25-3-375-379
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