2 m 4 1 designs with minimum aberration or weak minimum aberration
Minimum aberration, Resolution, Weak minimum aberration, Wordlength pattern, 62K15, 62K05,
Run-Chu Zhang, Min-Qian Liu, Peng-Fei Li
core +1 more source
2 m 4 n designs with resolution III or IV containing clear two-factor interaction components
Orthogonal arrays with mixed levels, Resolution, Combined minimum aberration, Clear two-factor interaction components, 62K15, 62K05,
S. Zhao, R. Zhang
core +1 more source
Connectedness of complete block designs under an interference model
Interference model, Information matrix, Connected design, Permutation matrix, Irreducible matrix, Circulant matrix, 62K05, 62K10,
Katarzyna Filipiak, Rafał Różański
core +1 more source
Some results on optimality in models with heteroscedastic errors from partial optimum designs
efficiency function, information matrices, linear models, optimum designs, 62K05,
Ignacio Martínez +2 more
core +1 more source
SomeE andMV-optimal row-column designs having equal numbers of rows and columns
Treatment-row incidence matrix, treatment-column incidence matric, C-matrix, Primary 62K05, Secondary 62K10,
M. Jacroux
core +1 more source
Optimum Chemical Balance Weighing Design under Certain Condition [PDF]
, 2009 2000 Mathematics Subject Classification: 62K05, 05B05.The problem of estimation of unknown weights of p objects is considered. The experiment is carried out according to the standard Gauss-Markoff model of the chemical balance weighing design.
Ceranka, Bronislaw, Graczyk, Malgorzata
core
Estimation and optimal designs for linear Haar-wavelet models
Haar-wavelet, Linear model, Best linear unbiased estimator, Covariance matrix, Information matrix, Optimal design, 62K05,
Yongge Tian, Agnes Herzberg
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Optimum Choice of Covariates for a Series of SBIBDS Obtained Through Projective Geometry
, 2007 A block design set up is considered in presence of a number of controllable covariates. The problem is that of choosing the values of the covariates so that for a given block design, it is optimum in the sense of attaining minimum variance for the ...
Premadhis Das +5 more
core +1 more source
Optimal designs under a multivariate linear model with additional nuisance parameters
Multivariate model, Estimable function, Kiefer optimality, Information matrix, Precision matrix, 62K05, 62K10,
Katarzyna Filipiak +2 more
core +1 more source
KL-optimum designs: theoretical properties and practical computation
, 2014 In this paper some new properties and computational tools for finding KL-optimum designs are provided. KL-optimality is a general criterion useful to select the best experimental conditions to discriminate between statistical models.
MAY, CATERINA, Tommasi C., Aletti G
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