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

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dc.contributor.author Militký, Jiří
dc.contributor.author Meloun, Milan
dc.date.accessioned 2016-07-08
dc.date.available 2016-07-08
dc.date.issued 1993
dc.identifier.issn 0039-9140
dc.identifier.uri https://dspace.tul.cz/handle/15240/16556
dc.description.abstract Estimation 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.format text
dc.language.iso en
dc.publisher Elsevier Science Bv
dc.relation.ispartof Talanta
dc.source j-scopus
dc.source j-wok
dc.title Multiparametric Curve Fitting 15. Statistical-Analysis And Goodness-Of-Fit Test By The Least-Squares Algorithm Minopt en
dc.title.alternative Multiparametric curve fitting XV. statistical analysis and goodness-of-fit test by the least-squares algorithm MINOPT en
dc.type article
dc.identifier.doi 10.1016/0039-9140(93)80334-N
local.relation.volume 40
local.relation.issue 2
local.identifier.wok A1993KU30900027
local.identifier.scopus 2-s2.0-11544280673
local.faculty Faculty of Textile Engineering
local.citation.spage 279
local.citation.epage 285
local.identifier.pubmed 18965628
local.department Department of Textile Materials
local.access access
local.fulltext yes
local.note nefunguje RIV


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