| 查看: 302 | 回复: 0 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
mechen
|
[交流]
[經典散乱数据分析] Analysis of Messy Data Volume I ~ III
|
||
|
Analysis of Messy Data Volume 1: Designed Experiments A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since the original publication. New to the Second Edition Several modern suggestions for multiple comparison procedures Additional examples of split-plot designs and repeated measures designs The use of SAS-GLM to analyze an effects model The use of SAS-MIXED to analyze data in random effects experiments, mixed model experiments, and repeated measures experiments The book explores various techniques for multiple comparison procedures, random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors implement the techniques using several statistical software packages and emphasize the distinction between design structure and the structure of treatments. They introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. Bringing a classic work up to date, this edition will continue to show readers how to effectively analyze real-world, nonstandard data sets. Analysis of Messy Data, Volume II: Nonreplicated Experiments Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible. Analysis of Messy Data, Volume III: Analysis of Covariance Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking at a set of regression models, one for each of the treatments or treatment combinations. Using this strategy, analysts can use their knowledge of regression analysis and analysis of variance to help attack the problem. |
回复此楼» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : Analysis_of_Messy_Data_Volume_1：_Designed_Experiments,_2nd_Edition_2004_by_George_A._Milliken.pdf
- 附件 2 : Analysis_of_Messy_Data,_Volume_III：_Analysis_of_Covariance,_1st_Edition_2001by_George_A._Milliken.pdf
- 附件 3 : Analysis_of_Messy_Data,_Volume_II：_Nonreplicated_Experiments_1989_by_George_A._Milliken.pdf
2018-04-11 14:43:36, 6.67 M
2018-04-11 14:44:11, 26.71 M
2018-04-11 14:44:23, 7.15 M
» 猜你喜欢
导师想让我从独立一作变成了共一第一
已经有9人回复
-
博士读完未来一定会好吗
已经有23人回复
-
到新单位后，换了新的研究方向，没有团队，持续积累2区以上论文，能申请到面上吗
已经有11人回复
-
读博
已经有4人回复
-
JMPT 期刊投稿流程
已经有4人回复
-
心脉受损
已经有5人回复
-
Springer期刊投稿求助
已经有4人回复
-
小论文投稿
已经有3人回复
-
申请2026年博士
已经有6人回复
