Chevron Left
Random Models, Nested and Split-plot Designs(으)로 돌아가기

애리조나주립대학교의 Random Models, Nested and Split-plot Designs 학습자 리뷰 및 피드백

4.5
별점
14개의 평가
3개의 리뷰

강좌 소개

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....

최상위 리뷰

RR
2020년 7월 25일

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

AA
2020년 9월 25일

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

필터링 기준:

Random Models, Nested and Split-plot Designs의 3개 리뷰 중 1~3

교육 기관: RAMESH R R

2020년 7월 26일

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

교육 기관: Abhishek A

2020년 9월 26일

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

교육 기관: Vytautas D

2020년 8월 9일

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.