Open AccessAnalyzing Three Factor Experiments using Partitioned Design Matrices
Author(s) -
Sigit Nugroho
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1188/1/012018
Subject(s) - restricted randomization , kronecker delta , plot (graphics) , mathematics , design matrix , factorial experiment , fractional factorial design , factorial , design of experiments , kronecker product , matrix (chemical analysis) , independence (probability theory) , statistics , split plot , notation , block (permutation group theory) , sampling (signal processing) , algorithm , computer science , combinatorics , arithmetic , randomized block design , linear model , materials science , filter (signal processing) , randomized controlled trial , mathematical analysis , composite material , quantum mechanics , computer vision , medicine , physics , surgery , randomization