Fundamental Concepts in Experiment Design (Statistics)
- Edition: 1
- Language: English
- Publication Date: 2022-01-10
- ISBN-10: B09Q5TSMY5
- ISBN-13: 9798799510046
- Sales Rank: #0 (See Top 100 Books)
~ 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
- Factors
- Mathematical Flavor
- Fixed vs. Random Effect
- Crossed vs. Nested Categorical
- Experiment vs. Grouping
- Interventional vs. Observational
- Repeated Measures
- Units
- Constructed vs. Pre-Existing
- Measurements
- Distribution
- Replicates
- Model Equation
- Factors
- Experiment Phase
- Randomization Location
- Randomization Type
- Hidden Factors
- Randomization Rules of Thumb
- Analysis Phase
- Example Experiments
- Designs with One Experiment Factor
- Two-Group Comparison
- Three-Group Comparison
- Linear Regression
- Designs with One Experiment Factor and One Grouping 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
- Designs with One Experiment Factor
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