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Fundamental Concepts in Experiment Design (Statistics) [#361058]

Name: Fundamental Concepts in Experiment Design (Statistics)
Author: Baturi

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 OverviewDesign Phase

Constructed vs. Pre-ExistingMeasurements
DistributionReplicatesModel Equation

Experiment Phase

Randomization LocationRandomization TypeHidden FactorsRandomization Rules of ThumbAnalysis PhaseExample Experiments

Designs with One Experiment Factor

Two-Group Comparison inside BlocksTwo-Group Comparison inside Blocks, but Block levels are Random EffectsTwo-Group Comparison inside Units, i.e. a Repeated Measures designLinear Regression inside BlocksDesigns with Two Experiment Factors
Crossed Categorical FactorsNested Categorical FactorDesigns with Two Experiment Factors and One Grouping Factor
2 Crossed Factors inside BlocksSplit Description, Type A2 Factor Fully Repeated Measures2 Factor Partially Repeated Measures

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Fundamental Concepts in Experiment Design (Statistics) [#361058]

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