Fundamental Concepts in Experiment Design (Statistics)

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Fundamental Concepts in Experiment Design (Statistics) | English | 2022 | ISBN: ‎ B09Q5TSMY5 | 196 pages | pdf | 7.05 MB

~ Welcome to Fundamental Concepts in Experiment Design ~

This book covers several core concepts in the design of experiments and their statistical analysis. Emphasis is placed on Gaussian-distributed analysis methods, like ANOVA and Linear Modeling. The first fifteen pages introduce the theory of design, and the remaining 150 pages covers several worked examples.

Table of Contents

Experiment Overview
Design Phase

• Constructed vs. Pre-Existing
  
  Measurements
  
  
• Distribution
  
  Replicates
  Model Equation
  
  

Experiment Phase

Randomization Location

Randomization Type
Hidden Factors
Randomization Rules of Thumb
Analysis Phase
Example Experiments

Designs with One Experiment Factor

• Two-Group Comparison inside Blocks
  
  Two-Group Comparison inside Blocks, but Block levels are Random Effects
  Two-Group Comparison inside Units, i.e. a Repeated Measures design
  Linear Regression inside Blocks
  Designs with Two Experiment Factors
  
  
• Crossed Categorical Factors
  
  Nested Categorical Factor
  Designs with Two Experiment Factors and One Grouping Factor
  
  
• 2 Crossed Factors inside Blocks
  
  Split Plot, Type A
  2 Factor Fully Repeated Measures
  2 Factor Partially Repeated Measures
  
  
  
  
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