Statistics for Experiments

Öivind Andersson

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Optimal Experimental Design Methods Probability and Statistical Research Statistical Methods and Applications

Abstract

This chapter contains sections titled: A Teatime Experiment The Importance of Randomization One-Sided and Two-Sided Tests The t-Test for One Sample The Power of a Test Comparing Two Samples Analysis of Variance (ANOVA) A Measurement System Analysis Other Useful Hypothesis Tests Interpreting p-Values Correlation Regression Modeling Summary Further Reading References

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2006Statistics for Experimenters: Design, Innovation, and Discovery

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2001A Most Probable Point-Based Method for Efficient Uncertainty Analysis 2004Optimization of robust design for multiple quality characteristics 1999SATISFYING RANGED SETS OF DESIGN REQUIREMENTS USING DESIGN CAPABILITY INDICES AS METRICS

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