Two Factors Full Factorial Design without Replications

• Two Factors Full Factorial Design
• Model
• Computation of Effects
• Estimating Experimental Errors
• Analysis of Variance
• ANOVA Table
• Confidence Intervals For Effects
• Case Study 21.1: Cache Design Alternatives
• Multiplicative Models
• Case Study 21.2: RISC architectures
• Cache Study 21.2: Simulation Results
• Case Study 21.2: Multiplicative Model
• Case Study 21.2: Confidence Intervals
• Cache Study 21.2: Visual Tests
• Case Study 21.2: ANOVA
• Case Study 21.3: Processors
• Case Study 21.3: Additive Model
• Case Study 21.3: Multiplicative Model
• Case Study 21.3: Intel iAPX 432
• Case Study 21.3: ANOVA with Log
• Case Study 21.3: Confidence intervals
• Missing Observations
• Case Study 21.4: RISC-I Execution Times
• Case Study 21.5: Using Multiplicative Model
• Case Study 21.5: Experimental Errors
• Case Study 21.5: CIs for Processor Effects
• Case Study 21.5: Visual Tests
• Case Study 21.5: Analysis without 68000
• Case Study 21.5: RISC-I Code Size
• Case Study 21.5: Confidence Intervals
• Summary
• Exercise 21.1
• Exercise 21.2
• Exercise 21.3
• Exercise 21.4

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