青春期
发表于 2025-3-23 13:17:55
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LATHE
发表于 2025-3-23 16:37:40
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fallible
发表于 2025-3-23 19:57:57
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掺假
发表于 2025-3-23 22:59:58
Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trly discuss prediction of the Clopper-Pearson exact confidence interval, and then extend our discussion to other confidence interval methods. In particular, we discuss the arcsine transformation as a viable alternative to the exact confidence interval.
时间等
发表于 2025-3-24 02:39:47
Importance of Adjusting for Multi-stage Design When Analyzing Data from Complex Surveysod II incorporates the main weight only, and method III utilizes the main weight and balanced repeated replications with specified replicate weights. We illustrate possible discrepancies in point estimates and standard errors using 2014–2015 TUS data. Presented examples include smoking status, attit
放肆的我
发表于 2025-3-24 10:02:29
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高射炮
发表于 2025-3-24 10:42:54
Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Dataing mixture Gaussian graphical models as well as a few other methods developed for homogeneous data, such as graphical Lasso, nodewise regression, and .-learning. The numerical results indicate superiority of the proposed method in all aspects of parameter estimation, cluster identification, and net
注意力集中
发表于 2025-3-24 16:14:47
2199-0980 learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners. .978-3-319-99389-8Series ISSN 2199-0980 Series E-ISSN 2199-0999
Intruder
发表于 2025-3-24 23:05:28
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懒洋洋
发表于 2025-3-25 01:53:22
Roland A. Matsouaka,Aneesh B. Singhal,Rebecca A. Betenskylgorithm to the previous approaches and show their benefit..We schedule the set of jobs on-the-fly, without a priori knowledge of its parameters or the communication patterns of the jobs. In light of the inherent lower bounds, all of our algorithms are nearly-optimal..We exemplify the power of our a