Statistical Principles for the Design of Experiments : Applications to Real Experiments.

Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mead, R. (Roger)
Otros Autores: Gilmour, S. G., Mead, A. (Andrew)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Cambridge University Press, 2012.
Colección:Cambridge series on statistical and probabilistic mathematics.
Temas:
Experimental design.
Research Design
Plan d'expérience.
MATHEMATICS > Probability & Statistics > General.
REFERENCE > Research.
Experimental design
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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