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Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments

By
R. Russell Rhinehart
R. Russell Rhinehart
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ISBN:
9781118597965
No. of Pages:
400
Publisher:
ASME-Wiley
Publication date:
2016

There is a desire for reproducibility. If an experiment is exactly duplicated it will return exactly identical results. Like a calculation of 3 × 5, it does not matter which day, when, or who does the same calculation, the result is reproducibly 15. However, experiments are not exactly reproducible. Sensors age (warm up, corrode, fade) and there are uncontrolled influences on both the experiment (humidity, barometric pressure, human personality, raw material composition) and on its measurement (electromagnetic currents, vibrations, reading parallax, lab analysis, sample aging). Replicate experiments (attempts at exact duplication) will generate a diversity of values, not a single...

4.1
Variation and Its Role in Topics
4.2
Histogram and Its PDF and CDF Views
4.3
Constructing a Data-Based View of PDF and CDF
4.4
Parameters that Characterize the Distribution
4.5
Some Representative Distributions
4.6
Confidence Interval
4.7
Central Limit Theorem
4.8
Hypothesis and Testing
4.9
Type I and Type II Errors, Alpha and Beta
4.10
Essential Statistics for This Text
4.11
Takeaway
Exercises
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