Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

INTUITIVE METHOD OF FACTORS SIGNIFICANCE RANKING

Moiseev A.A.  

UDC 519.242
DOI:

  • Abstract
  • List of references
  • About authors

Effectiveness of fractional replicas application increases at non – fiction factors multiplication. It depends also on linear and non. – linear effects and factor experiments performance scheme in the presence of factors interactions. In this situation a priory information is desirable and even necessary. Developed here intuitive method of factors ranking in linear regression model based on regular plans and posterior rejection of least loaded factors. Its main advantage along with realization simplicity is only non fictive factors application.

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Moiseev Alexander Aleksandrovich
Candidate of Technical Sciences
Email: chimmotolog_ma@gmail.com

State Research Institute of Chimmotology

Moscow, Russian Federation

Keywords: factor experiment, linear regression model, regular plan, relative load, ranking, non fictive factors, generating functions

For citation: Moiseev A.A. INTUITIVE METHOD OF FACTORS SIGNIFICANCE RANKING. Modeling, Optimization and Information Technology. 2017;5(1). Available from: https://moit.vivt.ru/wp-content/uploads/2017/02/Moiseev_1_17_2.pdf DOI: (In Russ).

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