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Design of Experiments: A Realistic Approach

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TLDR
A review of some basic statistical concepts some intermediate data analysis concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experimentations for Two-Leveled Factors Three-Level Factorial Experience (FFE) Mixed FactorialExperiments and Other Incomplete Block Designs Response Surface Exploration Appendices
Abstract
Review of Some Basic Statistical Concepts Some Intermediate Data Analysis Concepts A Scientific Approach to Experimentation Completely Randomized Design (CRD) Randomized Complete Block Design (RCBD) Nested (Hierarchical) and Nested Factorial Designs Split Plot Type Design Latin Square Type Designs 2n Factorial Experiments (Complete and Incomplete Blocks) Fractional Factorial Experiments for Two-Leveled Factors Three-Level Factorial Experiments Mixed Factorial Experiments and Other Incomplete Block Designs Response Surface Exploration Appendices

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Using confidence intervals in within-subject designs

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TL;DR: An integrated theoretical model is developed that posits that knowledge transfer is influenced by knowledge-related, motivational, and communication-related factors and suggests that all three groups of factors influence knowledge transfer.
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TL;DR: The Basics of Software Engineering Experimentation demonstrates to software engineers how Experimental Design and Analysis can be used to validate their beliefs and ideas.
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A Unified Approach to Mixed Linear Models

TL;DR: In this paper, the authors present a methodology for fitting models with various fixed and random elements with the possible assumption of correlation among random effects, and the advantage of teaching analysis of variance applications from this methodology is presented.
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Contextual Influences on Perceptions of Merchant-Supplied Reference Prices

TL;DR: In this article, two contextual variables that have theoretical roots in information processing, attribution, and social judgment theories were manipulated along with three levels of merchant-supplied reference price in a 2 × 2 × 3 analysis of variance design.