装勇敢地做 发表于 2025-3-25 05:45:42

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评论者 发表于 2025-3-25 11:18:27

Reliability,her hand, in the pursuit of high reliability, validity tends to get lost, for example, by oversimplifying measurement procedures or by overly strict annotation instructions. More often than not, the notion of reliability is claimed as the primary criterion for the adequacy of a measurement. However,

蔑视 发表于 2025-3-25 14:18:01

Significance,stical significance testing is often completely ignored. The goal of this chapter is to promote model-based significance testing using LMEMs, and to revitalize the generalized likelihood ratio test (GLRT) as a hypothesis test framework that shows its full potential in a model-based setting. GLRTs da

Outmoded 发表于 2025-3-25 16:34:35

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悦耳 发表于 2025-3-25 22:28:24

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ARM 发表于 2025-3-26 02:07:51

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毕业典礼 发表于 2025-3-26 07:04:44

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Terminal 发表于 2025-3-26 10:32:31

Stefan Riezler,Michael HagmannIncludes problems of validity, reliability, and significance and provides solutions based on statistical methodology.introduces empirical methods for machine learning with a focus on applications in N

Bother 发表于 2025-3-26 13:35:34

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BILE 发表于 2025-3-26 20:24:09

https://doi.org/10.1007/978-3-031-57065-0Empirical Methods; Validity; Generalized Additive Models; Deviance; Reliability; Orthogonal Estimators; Si
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查看完整版本: Titlebook: Validity, Reliability, and Significance; Empirical Methods fo Stefan Riezler,Michael Hagmann Book 2024Latest edition The Editor(s) (if appl