municipality
发表于 2025-3-25 03:30:23
Strong Limit Theorems for Stochastic Processes and Orthogonality Conditions for Probability MeasureLet . (.), 0 ≦ . ≦ ., be the Wiener process, that is, a real Gaussian stochastic process with . and let .. for . = 1, 2, ... be the sequence of increasing integers.
hemophilia
发表于 2025-3-25 08:47:41
Extension of the Kolmogorov-Smirnov Test to Regression Alternatives,tribution is derived in Section 4 by means of techniques developed in Section 1 (conditions for convergence in distribution in . ) and Section 2 (extension of a Kolmogorov inequality to the case of sampling without replacement from a finite population). The auxiliary results just mentioned also offer some interest in their own right.
有组织
发表于 2025-3-25 14:24:55
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步履蹒跚
发表于 2025-3-25 18:38:26
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Consequence
发表于 2025-3-25 23:54:16
Overview: 978-3-540-03260-1978-3-642-99884-3
crutch
发表于 2025-3-26 01:24:14
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牢骚
发表于 2025-3-26 08:06:28
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FAWN
发表于 2025-3-26 09:16:15
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Desert
发表于 2025-3-26 13:39:48
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易弯曲
发表于 2025-3-26 20:37:35
https://doi.org/10.1007/978-3-642-99884-3Random variable; distribution; probability theory; statistical inference; stochastic process