Empirical Modeling and Data Analysis for Engineers and Applied Scientists

PrefaceAcknowledgments

Probability Concepts
Statistical Concepts
Measurement Systems Analysis
Modeling with Data
Factorial Experiments
Fractional Factorial Design
Higher Order Approximations
Mixture Experiments
Some Examples and Applications
Binary Logistic Regression
Reliability, Life Testing, and Shelf Life
Bayesian Concepts
Validation and Verification
Simulation and Random Variable Generation
Taguchi Methods and Robust Design

References

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• Probabilidade e Estatística
• Engenharia biomédica
• Probabilidade e Estatística
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• Ciência ambiental, engenharia e tecnologia

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