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Optimal design: Design of Experiments, Optimization, Statistical Model, Bias of an Estimator, Minimum-Variance Unbiased Estimator, Replication, Statistical Theory, Bayesian Experimental Design - Couverture souple

 
9786130337483: Optimal design: Design of Experiments, Optimization, Statistical Model, Bias of an Estimator, Minimum-Variance Unbiased Estimator, Replication, Statistical Theory, Bayesian Experimental Design
Couverture souple
ISBN 10 : 6130337485 ISBN 13 : 9786130337483
Editeur : Betascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Optimal designs are a class of experimental designs that are optimal with respect to some statistical criterion. In the design of experiments for estimating statistical models, optimal designs allow parameters to be estimated without bias and with minimum-variance. A non-optimal design requires a greater number of experimental runs to estimate the parameters with the same precision as an optimal design. In practical terms, optimal experiments can reduce the costs of experimentation. The optimality of a design depends on the statistical model and is assessed with respect to a statistical criterion, which is related to the variance-matrix of the estimator. Specifying an appropriate model and specifying a suitable criterion function both require understanding of statistical theory and practical knowledge with designing experiments.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Optimal designs are a class of experimental designs that are optimal with respect to some statistical criterion. In the design of experiments for estimating statistical models, optimal designs allow parameters to be estimated without bias and with minimum-variance. A non-optimal design requires a greater number of experimental runs to estimate the parameters with the same precision as an optimal design. In practical terms, optimal experiments can reduce the costs of experimentation. The optimality of a design depends on the statistical model and is assessed with respect to a statistical criterion, which is related to the variance-matrix of the estimator. Specifying an appropriate model and specifying a suitable criterion function both require understanding of statistical theory and practical knowledge with designing experiments.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Betascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6130337485
ISBN 13 
9786130337483
Reliure
Broché
Nombre de pages
72
Éditeur
Surhone Lambert M., Timpledon Miriam T., Marseken Susan F.
Coordonnées du fabricant
non disponible
Personne responsable
non disponible