polysomnography 发表于 2025-3-21 16:46:13

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一瞥 发表于 2025-3-21 22:57:24

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原始 发表于 2025-3-22 03:51:52

Types of Interval Data Sets: Towards Feasible Algorithmschapter shows, computing variance . under interval uncertainty is, in general, an NP-hard (computationally difficult) problem. As we will see in the following chapters, a similar problem is NP-hard for many other statistical characteristics . as well.

卵石 发表于 2025-3-22 05:42:50

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宽宏大量 发表于 2025-3-22 10:54:38

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不在灌木丛中 发表于 2025-3-22 15:56:42

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不在灌木丛中 发表于 2025-3-22 20:51:29

Martin S. Olivier,Sujeet Shenoi corresponding to a . from the population. Based on these sample values, we need to estimate . characteristics . – i.e., characteristics that describe the population as a whole, such as the mean and the variance of different quantities, the correlation between different quantities, etc.

外露 发表于 2025-3-23 00:06:03

Formulation of the Problem corresponding to a . from the population. Based on these sample values, we need to estimate . characteristics . – i.e., characteristics that describe the population as a whole, such as the mean and the variance of different quantities, the correlation between different quantities, etc.

我不死扛 发表于 2025-3-23 01:39:03

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Liberate 发表于 2025-3-23 07:28:08

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查看完整版本: Titlebook: Computing Statistics under Interval and Fuzzy Uncertainty; Applications to Comp Hung T. Nguyen,Vladik Kreinovich,Gang Xiang Book 20121st ed