Matches in SemOpenAlex for { <https://semopenalex.org/work/W2085643308> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2085643308 endingPage "156" @default.
- W2085643308 startingPage "145" @default.
- W2085643308 abstract "Abstract This paper discusses a new stepwise approach for comparing the results from several analytical methods which analyse a set of analytes at different concentration levels, taking into account all the individual uncertainties produced by measurement errors. This stepwise comparison approach detects the methods that provide outlying concentration results. The concentration results from each one of the remaining analytical methods are then compared to the ones from the others taken together, by using linear regression. To do this, the concentration results from the methods considered together and their individual uncertainties, are decomposed at each step to obtain a vector of concentrations. This is achieved by a maximum likelihood principal component analysis (MLPCA), which takes into account the measurement errors in the concentration results. The bivariate least squares (BLS) regression method is then used to regress the concentration results from the method being tested at a given step on the scores generated from the MLPCA decomposition (which have the information of the other remaining methods), considering the uncertainties in both axes. To detect significant differences between the results from the method being tested at a given step and the results from the other methods (MLPCA scores), the joint confidence interval test is applied on the BLS regression line coefficients for a given level of significance α. We have used four real data sets to provide application examples that show the suitability of the approach." @default.
- W2085643308 created "2016-06-24" @default.
- W2085643308 creator A5000824533 @default.
- W2085643308 creator A5000928937 @default.
- W2085643308 creator A5059223256 @default.
- W2085643308 date "2001-11-01" @default.
- W2085643308 modified "2023-10-18" @default.
- W2085643308 title "Multiple analytical method comparison using maximum livelihood principal component analysis and linear regression with errors in both axes" @default.
- W2085643308 cites W116921979 @default.
- W2085643308 cites W163719097 @default.
- W2085643308 cites W165164945 @default.
- W2085643308 cites W1966171297 @default.
- W2085643308 cites W1997880254 @default.
- W2085643308 cites W2038537928 @default.
- W2085643308 cites W2038601820 @default.
- W2085643308 cites W2049884623 @default.
- W2085643308 cites W2049920218 @default.
- W2085643308 cites W2059267944 @default.
- W2085643308 cites W2082880760 @default.
- W2085643308 cites W2094382594 @default.
- W2085643308 cites W2109194254 @default.
- W2085643308 cites W2141182216 @default.
- W2085643308 cites W2149608872 @default.
- W2085643308 cites W3143949042 @default.
- W2085643308 cites W4235002361 @default.
- W2085643308 cites W4244607051 @default.
- W2085643308 doi "https://doi.org/10.1016/s0003-2670(01)01032-7" @default.
- W2085643308 hasPublicationYear "2001" @default.
- W2085643308 type Work @default.
- W2085643308 sameAs 2085643308 @default.
- W2085643308 citedByCount "5" @default.
- W2085643308 crossrefType "journal-article" @default.
- W2085643308 hasAuthorship W2085643308A5000824533 @default.
- W2085643308 hasAuthorship W2085643308A5000928937 @default.
- W2085643308 hasAuthorship W2085643308A5059223256 @default.
- W2085643308 hasConcept C105795698 @default.
- W2085643308 hasConcept C152877465 @default.
- W2085643308 hasConcept C177264268 @default.
- W2085643308 hasConcept C185592680 @default.
- W2085643308 hasConcept C199360897 @default.
- W2085643308 hasConcept C27438332 @default.
- W2085643308 hasConcept C33923547 @default.
- W2085643308 hasConcept C41008148 @default.
- W2085643308 hasConcept C48921125 @default.
- W2085643308 hasConcept C64341305 @default.
- W2085643308 hasConcept C74887250 @default.
- W2085643308 hasConcept C83546350 @default.
- W2085643308 hasConceptScore W2085643308C105795698 @default.
- W2085643308 hasConceptScore W2085643308C152877465 @default.
- W2085643308 hasConceptScore W2085643308C177264268 @default.
- W2085643308 hasConceptScore W2085643308C185592680 @default.
- W2085643308 hasConceptScore W2085643308C199360897 @default.
- W2085643308 hasConceptScore W2085643308C27438332 @default.
- W2085643308 hasConceptScore W2085643308C33923547 @default.
- W2085643308 hasConceptScore W2085643308C41008148 @default.
- W2085643308 hasConceptScore W2085643308C48921125 @default.
- W2085643308 hasConceptScore W2085643308C64341305 @default.
- W2085643308 hasConceptScore W2085643308C74887250 @default.
- W2085643308 hasConceptScore W2085643308C83546350 @default.
- W2085643308 hasIssue "1-2" @default.
- W2085643308 hasLocation W20856433081 @default.
- W2085643308 hasOpenAccess W2085643308 @default.
- W2085643308 hasPrimaryLocation W20856433081 @default.
- W2085643308 hasRelatedWork W1992233912 @default.
- W2085643308 hasRelatedWork W2010237043 @default.
- W2085643308 hasRelatedWork W2028121779 @default.
- W2085643308 hasRelatedWork W2039491306 @default.
- W2085643308 hasRelatedWork W2088186053 @default.
- W2085643308 hasRelatedWork W2183082791 @default.
- W2085643308 hasRelatedWork W2383457581 @default.
- W2085643308 hasRelatedWork W2385092268 @default.
- W2085643308 hasRelatedWork W2521853008 @default.
- W2085643308 hasRelatedWork W2401904714 @default.
- W2085643308 hasVolume "446" @default.
- W2085643308 isParatext "false" @default.
- W2085643308 isRetracted "false" @default.
- W2085643308 magId "2085643308" @default.
- W2085643308 workType "article" @default.