讨论小组 发表于 2025-3-21 19:03:39
书目名称Mixed-Effects Models in S and S-PLUS影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0635223<br><br> <br><br>书目名称Mixed-Effects Models in S and S-PLUS读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0635223<br><br> <br><br>SPALL 发表于 2025-3-21 23:51:33
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https://doi.org/10.1007/b98882Analysis; C programming language; Fitting; Phar; Regression analysis; STATISTICA; Statistical Computing; Tu方舟 发表于 2025-3-22 15:34:26
978-1-4757-8144-1Springer Science+Business Media New York 2000拱墙 发表于 2025-3-22 19:43:28
Mixed-Effects Models in S and S-PLUS978-0-387-22747-4Series ISSN 1431-8784 Series E-ISSN 2197-1706AMITY 发表于 2025-3-23 01:01:48
Book 2000software, and theory makes this book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models.” (E.M.Psyadlo, zbMATH 0953.62065, 2022)Indebted 发表于 2025-3-23 04:42:17
José C. Pinheiro,Douglas M. BatesThis book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel离开可分裂 发表于 2025-3-23 08:17:35
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