Statistical Principles for the Design of Experiments : Applications to Real Experiments.
Material type:
TextSeries: Cambridge series on statistical and probabilistic mathematicsPublication details: Cambridge : Cambridge University Press, 2012.Description: 1 online resource (584 pages)Content type: - text
- computer
- online resource
- 9781139570695
- 1139570692
- 9781139020879
- 1139020870
- 9781139568883
- 1139568884
- 113957244X
- 9781139572446
- 001.4/34 001.434
- QA279 .M38825 2012
- MAT029000
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Electronic-Books
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OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Print version record.
Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.
Includes bibliographical references and index.
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.
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