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Learner Reviews & Feedback for Random Models, Nested and Split-plot Designs by Arizona State University

4.5
stars
18 ratings
4 reviews

About the Course

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....

Top reviews

RR
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.

AA
Sep 25, 2020

THIS FULL COURSE WAS EXCELLENT. IT WILL HELP IN MY PROJECT. THANK YO DOCTOR MONTGOMERY SIR.

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1 - 4 of 4 Reviews for Random Models, Nested and Split-plot Designs

By RAMESH R R

Jul 26, 2020

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

By Abhishek A

Sep 26, 2020

THIS FULL COURSE WAS EXCELLENT. IT WILL HELP IN MY PROJECT. THANK YO DOCTOR MONTGOMERY SIR.

By Diego G

Nov 26, 2020

The course tries to cover a lot of material that is somewhat math-heavy. It's not easy to digest some of the concepts without some self-study using the book. Exercises and quizzes only cover a fraction of what is taught. An improvement could be to cover less topics and use the time gained to give some more examples and clarify some of the math.

By Vytautas D

Aug 9, 2020

Need to use R or Python and freeware rather than courtesy access to JMP. I spent a lot of time fitting R models to the data but it is a lot of work. Hence, I'm not going to complete the Experimental Design courses. The lecturer is very, very good and I enjoy listening to his wisdom.