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Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties

Detalles Bibliográficos
Autores principales: Pronzato, Luc, Pázman, Andrej
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4614-6363-4
http://cds.cern.ch/record/1551466
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author Pronzato, Luc
Pázman, Andrej
author_facet Pronzato, Luc
Pázman, Andrej
author_sort Pronzato, Luc
collection CERN
id cern-1551466
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
record_format invenio
spelling cern-15514662021-04-21T22:40:48Zdoi:10.1007/978-1-4614-6363-4http://cds.cern.ch/record/1551466engPronzato, LucPázman, AndrejDesign of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample propertiesMathematical Physics and MathematicsSpringeroai:cds.cern.ch:15514662013
spellingShingle Mathematical Physics and Mathematics
Pronzato, Luc
Pázman, Andrej
Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title_full Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title_fullStr Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title_full_unstemmed Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title_short Design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
title_sort design of experiments in nonlinear models: asymptotic normality, optimality criteria and small-sample properties
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-1-4614-6363-4
http://cds.cern.ch/record/1551466
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AT pazmanandrej designofexperimentsinnonlinearmodelsasymptoticnormalityoptimalitycriteriaandsmallsampleproperties