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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/random-models-nested-split-plot-designs
课程评论：没有评论
课程名称：随机模型、嵌套与分割区设计 课程概述：许多实验涉及随机选择的因素水平。本课程聚焦于测量系统的研究，以确定其能力。课程内容涵盖了这些类型实验的设计和分析，包括现代方法来估计这些系统中的变异成分。此外，本课程还讨论了嵌套因素的实验设计，以及需要分割区设计的难以改变的因素实验。课程还提供了对响应分布不是正态分布的实验设计和包含协变量的实验设计的概述。 课程大纲： 1. 单元 1：随机因素实验 描述： 2. 单元 2：嵌套与分割区设计 描述： 3. 单元 3：其他设计与分析主题 描述： 该课程适合对实验设计和数据分析感兴趣的学习者，特别是在针对随机因素和复杂实验设计有需求的场景下。
Name:Unit 1: Experiments with Random Factors
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Name:Unit 2: Nested and Split-Plot Designs
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Name:Unit 3: Other Design and Analysis Topics
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Many experiments involve factors whose levels are chosen at random. A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. The course also covers experiments with nested factors, and experiments with hard-to-change factors that require split-plot designs. We also provide an overview of designs for experiments with response distributions from nonnormal response distributions and experiments with covariates.
