About: Response surface methodology

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Response surface methodology Goto Sponge NotDistinct Permalink

An Entity of Type : yago:StatisticalMethod106020737, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon

http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FResponse_surface_methodology

In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. The method was introduced by George E. P. Box and K. B. Wilson in 1951. The main idea of RSM is to use a sequence of designed experiments to obtain an optimal response. Box and Wilson suggest using a second-degree polynomial model to do this. They acknowledge that this model is only an approximation, but they use it because such a model is easy to estimate and apply, even when little is known about the process.

Attributes	Values
rdf:type	Thing yago:WikicatOptimalDecisions yago:WikicatSequentialExperiments yago:WikicatStatisticalMethods yago:Ability105616246 yago:Abstraction100002137 yago:Act100030358 yago:Action100037396 yago:Activity100407535 yago:Choice100161243 yago:Cognition100023271 yago:Decision100162632 yago:Event100029378 yago:Experiment100639556 yago:Investigation100633864 yago:Know-how105616786 yago:Method105660268 yago:PsychologicalFeature100023100 yago:Research100636921 yago:Work100575741 yago:YagoPermanentlyLocatedEntity yago:ScientificResearch100641820 yago:StatisticalMethod106020737
rdfs:label	Metodología de superficie de respuesta (es) Méthode des surfaces de réponses (fr) Response surface methodology (en) 响应曲面法 (zh) Метод Бокса — Вілсона (uk)
rdfs:comment	En statistiques, la méthode des surfaces de réponses (MSR) a pour but d'explorer les relations entre les variables dépendantes et indépendantes impliquées dans une expérience. Elle est due aux travaux de 1951 de George Box et K. B. Wilson. L'idée principale de leur méthode est l'utilisation d'une séquence d'expériences. Box et Wilson suggèrent d'utiliser un modèle à polynôme de second degré, mais concèdent que ce modèle n'est qu'une approximation. Toutefois, ce dernier a l'avantage d'être facile à estimer et à appliquer, même lorsque l'information disponible sur les processus en cours est minime. (fr) 反應曲面法（Response surface methodology，簡寫RSM）為結合數學與統計而延生出的方法，為最適實驗設計或作業條件的有利工具，於1951年，Box 和 Wilson 共同進行數學模式的建立與推導，而後普遍應用於電子、機械、農業、化學工業、生物科技、材料科學、食品科學及工業製程改善等各項研究領域中。 (zh) En estadística, la metodología de superficie de respuesta (RSM) explora las relaciones entre varias variables explicativas y una o más variables de respuesta. El método fue introducido por George E. P. Box y K. B. Wilson en 1951. La idea principal de RSM es utilizar una secuencia de experimentos diseñados para obtener una respuesta óptima. Box y Wilson sugieren usar un modelo polinomial de segundo grado para hacer esto. Reconocen que este modelo es solo una aproximación, pero lo usan porque dicho modelo es fácil de estimar y aplicar, incluso cuando se sabe poco sobre el proceso. (es) In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. The method was introduced by George E. P. Box and K. B. Wilson in 1951. The main idea of RSM is to use a sequence of designed experiments to obtain an optimal response. Box and Wilson suggest using a second-degree polynomial model to do this. They acknowledge that this model is only an approximation, but they use it because such a model is easy to estimate and apply, even when little is known about the process. (en) Метод Бокса-Вілсона (рос. метод Бокса-Уилсона; англ. Box-Wilson method; нім. Box-Wilson-Methode f) — метод оптимізації активного експерименту шляхом крутого сходження поверхнею відгуку (параметрів оптимізації) до оптимуму, суть якого полягає в наступному: рух у напрямі градієнта за наявності лінійного рівняння моделі здійснюється із центра експерименту послідовними кроками, які пропорційні добутку коефіцієнта регресії кожного фактора на значення його інтервалу зміни. (uk)
rdfs:seeAlso	Multiobjective optimization
foaf:depiction
dcterms:subject	Sequential experiments Design of experiments Industrial engineering Optimal decisions Systems engineering Mathematical optimization Statistical process control
Wikipage page ID	4481194 (xsd:integer)
Wikipage revision ID	1102673791 (xsd:integer)
Link from a Wikipage to another Wikipage	Sequential experiments Bias (statistics) Degree of a polynomial Design of experiments George E. P. Box Box–Behnken design Optimal design Surrogate model Design of experiments Industrial engineering Fractional factorial design Central composite design Gradient-enhanced kriging Response variable Plackett–Burman design Probabilistic design Optimal decisions Systems engineering Mathematical optimization Statistical process control Polynomial Society for Industrial and Applied Mathematics Spherical design Explanatory variable Factorial experiment IOSO Polynomial and rational function modeling Polynomial regression Stephen M. Stigler
Link from a Wikipage to an external page	http://docs.lib.noaa.gov/rescue/cgs/001_pdf/CSC-0025.PDF%23page=222 http://www.webdoe.cc/publications/kirstine.php http://neilsloane.com/doc/Me175.pdf https://books.google.com/books%3Fid=oIHsrw6NBmoC%7Cpublisher=Oxford https://www.sciencedirect.com/science/article/pii/S0169716196130133 https://www.sciencedirect.com/science/article/pii/S0169716196130327 http://users.telenet.be/peter.goos/springer.htm%7Cseries= http://www.itl.nist.gov/div898/handbook/pri/section3/pri336.htm https://books.google.com/books%3Fid=5ZcfDZUJ4F8C http://neilsloane.com/doc/doeh.pdf http://neilsloane.com/doc/meatball.pdf https://zenodo.org/record/1431591 https://www.springer.com/series/694
sameAs	Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology Response surface methodology
dbp:wikiPageUsesTemplate	dbt:Authority_control dbt:Cite_book dbt:Cite_journal

Faceted Search & Find service v1.17_git139 as of Feb 29 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 60 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software