Constarium
← Search

Data · dataset · 2015

General Blending Models for Data From Mixture Experiments

Listed in DataCite

We propose a new class of models providing a powerful unification and extension of existing statistical methodology for analysis of data obtained in mixture experiments.

Description

These models, which integrate models proposed by Scheffé and Becker, extend considerably the range of mixture component effects that may be described. They become complex when the studied phenomenon requires it, but remain simple whenever possible.

This article has supplementary material online.

Links

Topics

Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.160630012 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:clinical-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:mathematicssource · DataCiteconnector:datacite@1.0.0
concepts[field].local:field:life-sciencesmapping · DataCitevocabulary-mapper@1.0.0keywords['Biological Sciences']
concepts[field].local:field:mathematics-statisticsmapping · DataCitevocabulary-mapper@1.0.0keywords['Mathematics']
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0