標(biāo)題: Titlebook: Monte-Carlo Simulation-Based Statistical Modeling; Ding-Geng‘(Din) Chen,John Dean Chen Book 2017 The Editor(s) (if applicable) and The Aut [打印本頁(yè)] 作者: firearm 時(shí)間: 2025-3-21 17:06
書(shū)目名稱(chēng)Monte-Carlo Simulation-Based Statistical Modeling影響因子(影響力)
作者: 爵士樂(lè) 時(shí)間: 2025-3-21 20:17
https://doi.org/10.1007/978-981-10-3307-0Monte-Carlo Techniques; Statistical Modelling; Importance Sampling; Multiple Integration; Simulation; Eff作者: Fierce 時(shí)間: 2025-3-22 03:14
978-981-10-9839-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: hazard 時(shí)間: 2025-3-22 07:16 作者: maculated 時(shí)間: 2025-3-22 09:30
Ding-Geng‘(Din) Chen,John Dean ChenWritten by experts actively engaged in Monte-Carlo simulation-based statistical modeling.Includes timely discussions and presentations on methodological developments and concrete applications.Introduc作者: 帳單 時(shí)間: 2025-3-22 16:16 作者: 剛毅 時(shí)間: 2025-3-22 18:10
Book 2017s recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical mode作者: 故意 時(shí)間: 2025-3-22 21:39
Book 2017odel development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.作者: LUMEN 時(shí)間: 2025-3-23 05:15 作者: incision 時(shí)間: 2025-3-23 08:57
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