# Arizona State University - Random Models, Nested and Split-plot Designs

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## Random Models, Nested and Split-plot Designs at Coursera Overview

 Duration 9 hours Start from Start Now 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
• 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

Consumer Product Coupons Example

Factorial with Covariate Example

Unit 3: Introduction

Unit 3: Concept Questions

Exercise 3

## Important Dates

May 25, 2024
Course Commencement Date

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