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Random Models, Nested and Split-plot Designs
  • Level Professional
  • المدة 9 ساعات hours
  • الطبع بواسطة Arizona State University
  • Offered by

عن

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.

الوحدات

Welcome

    • 2 Videos
    • 4 Readings
    • 1 Discussion
    • 1 ExternalTool
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1 External Tool

  • JMP Virtual Lab

1 Discussions

  • Meet the Class

2 Videos

  • Instructor Welcome
  • Course Introduction

4 Readings

  • Course Description
  • Course Textbook and Resources
  • Best Practices in Online Learning (or How to Succeed in This Class)
  • Project Report

Experiments with Random Factors

    • 4 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Unit 1: Concept Questions
  • Exercise 1

4 Videos

  • Estimating the Variance Components
  • Maximum Likelihood Approach
  • The Two-Factor Mixed Model
  • Measurement System Study Example

1 Readings

  • Unit 1: Introduction

Nested and Split-Plot Designs

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Unit 2: Concept Questions
  • Exercise 2

6 Videos

  • 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

1 Readings

  • Unit 2: Introduction

Other Design and Analysis Topics

    • 7 Videos
    • 1 Readings
    • 1 PeerReview
    • 2 Assignment
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2 Assignment

  • Unit 3: Concept Questions
  • Exercise 3

1 Peer Review

  • Final Project Report

7 Videos

  • 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

1 Readings

  • Unit 3: Introduction

Auto Summary

This advanced course, provided by Coursera, delves into the design and analysis of experiments with random models, nested factors, and split-plot designs. It covers modern methods for estimating variability components and includes nonnormal response distributions and covariates. Ideal for professionals in Maths & Statistics, the course spans 540 minutes and offers Starter and Professional subscription options.

Douglas C. Montgomery
Instructor

Douglas C. Montgomery