| Description |
1 online resource (584 pages). |
|
text file |
| Series |
Cambridge Series in Statistical and Probabilistic Mathematics
|
|
Cambridge series on statistical and probabilistic mathematics.
|
| Summary |
Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines. |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. Introduction -- 2. Elementary ideas of blocking: the randomised complete block design -- 3. Elementary ideas of treatment structure -- 4. General principles of linear models for the analysis of experimental data -- 5. Experimental units -- 6. Replication -- 7. Blocking and control -- 8. Multiple blocking systems and cross-over designs -- 9. Multiple levels of information -- 10. Randomisation -- 11. Restricted randomisation -- 12. Experimental objectives, treatments and treatment structures -- 13. Factorial structure and particular forms of effects -- 14. Fractional replication -- 15. Incomplete block size for factorial experiments -- 16. Quantitative factors and response functions -- 17. Multifactorial designs for quantitative factors -- 18. Split-unit designs -- 19. Multiple experiments and new variation -- 20. Sequential aspects of experiments and experimental programmes -- 21. Designing useful experiments. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Experimental design.
|
|
Experimental design. |
| Genre/Form |
Electronic books.
|
| Added Author |
Gilmour, S. G.
|
|
Mead, A. (Andrew)
|
| Other Form: |
Print version: 9780521862141 |
| ISBN |
9781139570695 |
|
1139570692 |
|
9781139020879 (electronic book) |
|
1139020870 (electronic book) |
|
9781139568883 (electronic book) |
|
1139568884 (electronic book) |
|
113957244X (electronic book) |
|
9781139572446 (electronic book) |
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9780521862141 |
|
0521862140 |
|
