Data analysis in the chemical laboratory Part 1. Analysis of indirect measurements

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dc.contributor.authorMeloun, Milan
dc.contributor.authorMilitký, Jiří
dc.date.accessioned2016-07-08
dc.date.available2016-07-08
dc.date.issued1994
dc.description.abstractResponse quantities of analytical chemistry investigations of, for instance, concentration or content of substances, viscosity, stability constants or solubility, can be obtained as a non-linear transformation of directly measured quantities or signals. The goal of the indirect mesurements analysis is estimation of basic statistical parameters of analytical results from the known non-linear transformation and from the statistical parameters of measured variables. The analysis is based on Taylor series expansion, two-point approximation and Monte Carlo simulation. An algorithm may be applied on any chemical, physical, biological or medical result. © 1994.en
dc.formattext
dc.identifier.doi10.1016/0003-2670(94)00086-7
dc.identifier.issn0003-2670
dc.identifier.scopus2-s2.0-0028123037
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16547
dc.language.isoen
dc.relation.ispartofAnalytica Chimica Acta
dc.sourcej-scopus
dc.subjectError propagationen
dc.subjectIndirect measurementsen
dc.subjectMonte Carlo simulationen
dc.subjectTaylor series expansionen
dc.subjectTwo-points approximationen
dc.titleData analysis in the chemical laboratory Part 1. Analysis of indirect measurementsen
dc.typearticle
local.accessopen access
local.citation.epage189
local.citation.spage183
local.departmentDepartment of Textile Materials
local.facultyFaculty of Textile Engineering
local.fulltextyes
local.identifier.codenACACA
local.identifier.stagRIV:J15/94:253100014
local.relation.issue1.2.2016
local.relation.volume293
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