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学生对 亚利桑那州立大学 提供的 Random Models, Nested and Split-plot Designs 的评价和反馈

4.6
28 个评分

课程概述

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....

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ML

Nov 25, 2021

Comprehensive and practical course in the Design of Experiments specialization. Helps reinforce the need for a physical experiment to align with constraints on randomization.

DR

Jul 25, 2020

Very exhaustive information about random models and nested and split-plot designs. Thank you to Professor Douglas C. Montgomery and Coursera Team.

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1 - Random Models, Nested and Split-plot Designs 的 6 个评论(共 6 个)

创建者 Diego G

Nov 26, 2020

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Jan 21, 2021

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Aug 9, 2020

创建者 Dr. R R R

Jul 26, 2020

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Nov 26, 2021

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Sep 26, 2020