compose
发表于 2025-3-27 00:21:32
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restrain
发表于 2025-3-27 01:27:27
Sebastian Haumannm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
大喘气
发表于 2025-3-27 07:42:44
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预兆好
发表于 2025-3-27 11:11:09
Wiktor Marzecm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
ferment
发表于 2025-3-27 15:24:29
Christian Kollerm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
额外的事
发表于 2025-3-27 21:34:55
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curriculum
发表于 2025-3-28 01:21:54
Gabriele Fischer,Katharina Ruhlandm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
迫击炮
发表于 2025-3-28 03:08:13
Sophie van den Elzenm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
Bombast
发表于 2025-3-28 09:51:43
Irina Gordeevam holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.
荣幸
发表于 2025-3-28 13:30:22
Nicolas Mollm holding is equivalent to the previous definition of "functional Donsker class." Secs. 6–7 treat the case where ℱ={M1.: 0<M<∞} for a random variable h. This case reduces to the study of weighted empirical distribution functions. Conditions for the central limit theorem are collected and made precise.