Year: 2014
Type: article
Abstract: 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. 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.
Source: Technometrics
Authors: L. Brown, A. N. Donev, A. C. Bissett
Institutions: University of Manchester, Federal Mogul (United Kingdom)
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
Funder: University of Manchester
OpenAlex ID: W2017874407