Let be independent identically distributed bivariate vectors and , are two linear forms with positive coefficients. We study two problems: under what conditions does the equidistribution of and imply the same property for and , and under what conditions does the independence of and entail independence of and ? Some analytical sufficient conditions are obtained and it is shown that in general they can not be weakened.
Mots-clés : equidistribution, independence, linear forms, characteristic functions
@article{PS_2003__7__313_0, author = {Belomestny, Denis}, title = {Constraints on distributions imposed by properties of linear forms}, journal = {ESAIM: Probability and Statistics}, pages = {313--328}, publisher = {EDP-Sciences}, volume = {7}, year = {2003}, doi = {10.1051/ps:2003014}, mrnumber = {1987791}, zbl = {1013.62059}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/ps:2003014/} }
TY - JOUR AU - Belomestny, Denis TI - Constraints on distributions imposed by properties of linear forms JO - ESAIM: Probability and Statistics PY - 2003 SP - 313 EP - 328 VL - 7 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/ps:2003014/ DO - 10.1051/ps:2003014 LA - en ID - PS_2003__7__313_0 ER -
Belomestny, Denis. Constraints on distributions imposed by properties of linear forms. ESAIM: Probability and Statistics, Tome 7 (2003), pp. 313-328. doi : 10.1051/ps:2003014. http://archive.numdam.org/articles/10.1051/ps:2003014/
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