Some results on multi-level factorial designs with dependent obervations
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Publication:1299077
DOI10.1016/S0378-3758(98)00054-8zbMath0945.62077OpenAlexW4238039040MaRDI QIDQ1299077
Publication date: 11 October 2000
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-3758(98)00054-8
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Optimal statistical designs (62K05) Factorial statistical designs (62K15)
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Efficient factorial experiments when the data are spatially correlated ⋮ Efficient run orders for a two-factor response surface experiment on a correlated process ⋮ Definitive screening designs with extreme numbers of level changes ⋮ A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation ⋮ Trend-resistant and cost-efficient cross-over designs for mixed models ⋮ A Comparison of Three-Level Orthogonal Arrays in the Presence of Different Correlation Structures in Observations ⋮ Balanced and partially balanced incomplete block designs with autocorrelation errors ⋮ Quadrature Methods for Bayesian Optimal Design of Experiments With Nonnormal Prior Distributions
Cites Work
- Optimal incomplete block designs for general dependence structures
- Trend-free block designs for varietal and factorial experiments
- Minimum cost trend-free run orders of fractional factorial designs
- Robust linear block designs for a suspected LV model
- Some results on two-level factorial designs with dependent observations
- Trend-free run orders of mixed-level fractional factorial designs
- Tables of minimum cost, linear trend-free run sequences for two- and three-level fractional factorial designs
- Two-level factorial designs with extreme numbers of level changes
- Trend robust two-level factorial designs
- AN ALGORITHM FOR THE DESIGN OF 2? FACTORIAL EXPERIMENTS ON CONTINUOUS PROCESSES
- EXPERIMENTAL DESIGNS FOR SERIALLY CORRELATED OBSERVATIONS
- Eight-run two-level factorial designs under dependence.
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