Some results on multi-level factorial designs with dependent obervations

DOI10.1016/S0378-3758(98)00054-8zbMath0945.62077OpenAlexW4238039040MaRDI QIDQ1299077

V. Pereyra

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

zbMATH Keywords

constructionsspatial dependencetemporal dependenceindicators of efficiency

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Optimal statistical designs (62K05) Factorial statistical designs (62K15)

Related Items (8)

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.
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Some results on multi-level factorial designs with dependent obervations