inquisitive 发表于 2025-3-25 04:23:58

Vestibular Influences during Sleepences of random variables satisfying a fist order large deviation theorem together with certain independence and stationarity properties. In view of recent second order large deviation asymptotics due to Dersch , corresponding refinements of the forementioned general Erdös-Rényi laws are discuss

黄瓜 发表于 2025-3-25 11:28:58

Van der Waals Forces and Shielding Effectse Operating Characteristic (OC-function) P(po accepted | p true), especially the errors of the first and second kind α and β. Furthermore, the exact distribution of the number of trials, especially the average sample number CASH-function) and higher moments of the number of trials.

协定 发表于 2025-3-25 13:37:18

https://doi.org/10.1007/978-3-642-66351-2e are strong reasons for desiring nonparametric solutions. “Nonparametric” and “robust” methods are contrasted, and relationships with “rank-based,” “bootstrap,” and “simulation and Monte Carlo” nonparametric procedures are noted. Work on nonparametric selection is reviewed: the needs for it, the ea

乱砍 发表于 2025-3-25 17:47:20

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NOVA 发表于 2025-3-25 23:03:10

https://doi.org/10.1007/978-3-642-66351-2 in certain statistical methods employed in geoscience: Descriptive statistics, principal components analysis, grouping of data, two-dimensional presentation, multiple regression analysis, canonical correlation, outlier detection. The main objective in this study is the outlier-resistent analysis of

容易生皱纹 发表于 2025-3-26 01:21:30

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ULCER 发表于 2025-3-26 07:54:38

P. Rentrop,J. Petersen,H. Roskammy widely used models for Markov processes are of this type. Martingale properties are proved for the corresponding score process. Sequential estimation procedures based on a finite stopping time τ are considered. A Cramer-Rao inequality is given in the sequential case and the efficiency of sequentia

全部 发表于 2025-3-26 11:03:08

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Valves 发表于 2025-3-26 16:31:57

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眼界 发表于 2025-3-26 18:14:03

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查看完整版本: Titlebook: Contributions to Stochastics; In Honour of the 75t Wolfgang Sendler Book 1987 Physica-Verlag Heidelberg 1987 Markov chain.Parameter.Power.V