Practical Experiment Designs: for Engineers and ScientistsJohn Wiley & Sons, 5 févr. 2001 - 448 pages Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form.
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Table des matières
Elements of Decision Making | 18 |
Computing the Sample Size 28 Computing the Sample Size | 31 |
Operating Characteristic Curves 39 | 39 |
Special Cases | 65 |
Decisions About | 71 |
Sequential Experiments | 82 |
PART | 88 |
Hadamard Matrices | 130 |
Analyzing the Data | 221 |
Confounding of TwoFactor Interactions | 234 |
Analysis of Goodness | 243 |
Alternative Methods of Analysis | 251 |
Three Multilevel Multivariable Experiments | 261 |
Multilevel Experiments with Quantitative Variables | 281 |
64Trial Experiment Designs with Variables at Two Levels | 303 |
Experiment Designs for Chemical Composition Experiments | 309 |
128Trial Designs | 136 |
Summary | 148 |
Designs | 163 |
Unbalanced Resolution V Designs | 175 |
Class AB Designs | 191 |
Resolution V Designs with Efficiency 1 | 195 |
Summary of TwoLevel Matrix Designs | 208 |
A Computer Program for Generating Hadamard Matrix Designs | 215 |
RandomStrategy Experiments | 322 |
Blocking an Experiment | 329 |
Validation of Test Methods | 335 |
Project Engineers Game | 369 |
Estimation of Variance | 378 |
Testing Distributions | 384 |
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Expressions et termes fréquents
139 Irregular Hadamard 16 trials ABCD ABCDEF adhesion alternative hypothesis analysis ANOG B₁ batch blocks calculated computer program confounded contrast columns defining contrast degrees of freedom design matrix Design of Experiments determine eight trials estimate of variance example experiment design experimenter formula four variables fractional factorial Hadamard 139 Irregular Hadamard matrix high level identity elements Irregular Hadamard 139 John's labeled low level main effects matrix experiment N₁ Nhigh normally distributed null hypothesis number of trials number of variables obtained periment photoconductor population mean population variance procedure Resolution IV design shown in Figure significant specification sum of squares Table temperature tensile strength three levels treatment combinations two-factor interactions U₁ variables at three variance vendor X₁ Xhigh Xhigh-low Xlow