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Book Categories |
| Pt. I | Fundamentals | |
| 1 | Introduction | 3 |
| 2 | Some key ideas | 11 |
| 3 | Experimental strategies | 16 |
| 4 | The choice of a model | 24 |
| 5 | Models and least squares | 35 |
| 6 | Criteria for a good experiment | 47 |
| 7 | Standard designs | 62 |
| 8 | The analysis of experiments | 72 |
| Pt. II | Theory and applications | |
| 9 | Optimum design theory | 93 |
| 10 | Criteria of optimality | 106 |
| 11 | D-optimum designs | 116 |
| 12 | Mixture experiments | 134 |
| 13 | Experiments with both qualitative and quantitative factors | 143 |
| 14 | Blocking response surface designs | 158 |
| 15 | Algorithms for the construction of exact D-optimum designs | 165 |
| 16 | Restricted design regions | 179 |
| 17 | Failure of the experiment and design augmentation | 188 |
| 18 | Non-linear models | 192 |
| 19 | Optimum Bayesian designs | 211 |
| 20 | Discrimination between models | 228 |
| 21 | Composite design criteria | 251 |
| 22 | Further topics | 271 |
| References | 297 | |
| Appendix A Program to implement the BLKL algorithm of 15.6 | 307 | |
| Author index | 323 | |
| Subject index | 326 |
| Price | Condition | Delivery | Seller | Action |
| $115.29 | Digital |
| WonderClub |
David Skaar
reviewed Optimum Experimental Designs on April 07, 2016 Optimum Experimental Designs
A good book in content and diverse information, but the author needs to explain processes better, many topics needed more details to flesh-out his message.
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