Multiparametric Curve Fitting 15. Statistical-Analysis And Goodness-Of-Fit Test By The Least-Squares Algorithm Minopt

Title Alternative:Multiparametric curve fitting XV. statistical analysis and goodness-of-fit test by the least-squares algorithm MINOPT
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dc.contributor.authorMilitký, Jiří
dc.contributor.authorMeloun, Milan
dc.date.accessioned2016-07-08
dc.date.available2016-07-08
dc.date.issued1993
dc.description.abstractEstimation of nonlinear regression quality leads to examination of quality of parameter estimates, a degree of fit, a prediction ability of model proposed and quality of experimental data. Statistical analysis serves for computation of confidence intervals of parameters and confidence bands, the bias of parameters and bias of residuals. Goodness-of-fit test examines classical residuals using various diagnostics and identifies influential points. Mentioned topics of nonlinear model building and testing contained in MINOPT program from CHEMSTAT package are illustrated.en
dc.formattext
dc.identifier.doi10.1016/0039-9140(93)80334-N
dc.identifier.issn0039-9140
dc.identifier.scopus2-s2.0-11544280673
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16556
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartofTalanta
dc.sourcej-scopus
dc.sourcej-wok
dc.titleMultiparametric Curve Fitting 15. Statistical-Analysis And Goodness-Of-Fit Test By The Least-Squares Algorithm Minopten
dc.title.alternativeMultiparametric curve fitting XV. statistical analysis and goodness-of-fit test by the least-squares algorithm MINOPTen
dc.typearticle
local.accessaccess
local.citation.epage285
local.citation.spage279
local.departmentDepartment of Textile Materials
local.facultyFaculty of Textile Engineering
local.fulltextyes
local.identifier.pubmed18965628
local.identifier.wokA1993KU30900027
local.notenefunguje RIV
local.relation.issue2
local.relation.volume40
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