Arizona State University - Random Models, Nested and Split-plot Designs
- Offered byCoursera
Random Models, Nested and Split-plot Designs at Coursera Overview
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Random Models, Nested and Split-plot Designs at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 4 in the Design of Experiments Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 9 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Random Models, Nested and Split-plot Designs at Coursera Course details
- 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.
Random Models, Nested and Split-plot Designs at Coursera Curriculum
Unit 1: Experiments with Random Factors
Instructor Welcome
Course Introduction
Estimating the Variance Components
Maximum Likelihood Approach
The Two-Factor Mixed Model
Measurement System Study Example
Course Description
Course Textbook and Resources
Best Practices in Online Learning (or How to Succeed in This Class)
Project Report
Unit 1: Introduction
Unit 1: Concept Questions
Exercise 1
Unit 2: Nested and Split-Plot Designs
Two-Stage Nested Design
Variations of the Nested Design
The Split-Plot Design
Unreplicated Designs and Fractional Factorial Designs in a split-plot framework
Purity Example
Tensile Strength of Paper Example
Unit 2: Introduction
Unit 2: Concept Questions
Exercise 2
Unit 3: Other Design and Analysis Topics
The Generalized Linear Model
The Grill Defects Experiment
The Analysis of Covariance
Design of Experiments with Known Covariates
Motor Oil Additive Experiment
Consumer Product Coupons Example
Factorial with Covariate Example
Unit 3: Introduction
Unit 3: Concept Questions
Exercise 3
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?
Data ScienceData Science BasicsStatistics for Data ScienceRandom Models, Nested and Split-plot Designs