cobble 发表于 2025-3-21 18:51:56

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eczema 发表于 2025-3-22 00:15:22

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fatty-streak 发表于 2025-3-22 01:06:39

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事先无准备 发表于 2025-3-22 05:29:10

2199-7357 uate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique

使纠缠 发表于 2025-3-22 11:26:50

Graded Response Models: A Case Study of Undergraduate Grade Data,

MELD 发表于 2025-3-22 13:07:12

solutions for problems in opportunistic Information-Centric Networks. Among those are mechanisms for efficient content discovery in neighbour nodes, resume mechanisms to recover from intermittent connectivity disruptions, a novel agent delegation mechanisms to offload content discovery and delivery

思考而得 发表于 2025-3-22 18:45:30

Valen E. Johnson,James H. Albertted with heterogeneous devices, which are using different technologies for communication. Because of communication technology diversity, research challenges are to uniquely identify devices, and to enable them to communicate securely. To tackle the former, previously proposed, a unique identifying s

他很灵活 发表于 2025-3-23 01:10:43

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实施生效 发表于 2025-3-23 05:00:43

Valen E. Johnson,James H. Albertode can send a short response (less than 1 KB) that fits in a single UDP message. This means that any node possessing an extended-CRL, including Road Side Units (RSUs) or intermediate vehicles, can produce short certificate-status responses that can be easily authenticated. The main procedures invol

MOCK 发表于 2025-3-23 07:54:41

Valen E. Johnson,James H. Albertode can send a short response (less than 1 KB) that fits in a single UDP message. This means that any node possessing an extended-CRL, including Road Side Units (RSUs) or intermediate vehicles, can produce short certificate-status responses that can be easily authenticated. The main procedures invol
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查看完整版本: Titlebook: Ordinal Data Modeling; Valen E. Johnson,James H. Albert Textbook 1999 Springer Science+Business Media New York 1999 Bayesian inference.DEX