Optimum experimental designs, with SAS /

Mostrar otras versiones (2)

Experiments in the field and in the laboratory cannot avoid random error and statistical methods are essential for their efficient design and analysis. Authored by leading experts in key fields, this text provides many examples of SAS code, results, plots and tables, along with a fully supported web...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Atkinson, A. C. (Anthony Curtis)
Otros Autores: Donev, A. N. (Alexander N.), Tobias, Randall
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2007.
Colección:Oxford statistical science series ; 34.
Temas:
SAS (Computer file)
Experimental design.
Research Design
Plan d'expérience.
MATHEMATICS > Probability & Statistics > General.
Optimale Versuchsplanung
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction
  • Some key ideas
  • Experimental strategies
  • The choice of a model
  • Models and least squares
  • Criteria for a good experiment
  • Standard designs
  • The analysis of experiments
  • Optimum design theory
  • Criteria of optimality
  • D-optimum designs
  • Algorithms for the construction of exact D-optimum designs
  • Optimum experimental design with SAS
  • Experiments with both qualitative and quantitative factors
  • Blocking response surface designs
  • Mixture experiments
  • Non-linear models
  • Bayesian optimum designs
  • Design augmentation
  • Model checking and designs for discriminating between models
  • Compound design criteria
  • Generalized linear models
  • Response transformation and structured variances
  • Time-dependent models with correlated observations
  • Further topics
  • Exercises.

Ejemplares similares