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學生對 亚利桑那州立大学 提供的 Random Models, Nested and Split-plot Designs 的評價和反饋

4.6
28 個評分

課程概述

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

2021年11月25日

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

2020年7月25日

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 個評論(共 6 個)

創建者 Diego G

2020年11月26日

創建者 Elham L

2021年1月21日

創建者 Vytautas D

2020年8月9日

創建者 Dr. R R R

2020年7月26日

創建者 Matthew P L

2021年11月26日

創建者 Abhishek A

2020年9月26日