ENBIS-23 Valencia Conference

Session

CONTRIBUTED Design of Experiments 2

12 Sept 2023, 08:30

2.7/2.8

Conveners

CONTRIBUTED Design of Experiments 2

• Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe)

153. D-Optimal Experiment Design for Nested Sensor Placement

David Sudell (Lancaster University)

12/09/2023, 08:30

Design and analysis of experiments

Internet of Things sensors placed in the environment may be subject to a nested structure caused by local data relay devices. We present an algorithm for D-optimal experiment design of the sensor placement under these circumstances. This algorithm is an adaption of an existing exchange algorithm sometimes called the Fedorov algorithm. The Fedorov exchange algorithm has been shown in the...

28. Multi-Criteria Evaluation and Selection of Experimental Designs from a Catalog

Jose Nunez Ares (KU Leuven)

12/09/2023, 08:50

Design and analysis of experiments

In recent years, several researchers have published catalogs of experimental plans. First, there are several catalogs of orthogonal arrays, which allow experimenting with two-level factors as well as multi-level factors. The catalogs of orthogonal arrays with two-level factors include alternatives to the well-known Plackett-Burman designs. Second, recently, a catalog of orthogonal minimally...

92. Some Notes on Determining the Minimal Sample Size in Balanced 3-way ANOVA Models where no Exact F-Test Exists

Bernhard Spangl (University of Natural Resources and Life Sciences, Vienna)

12/09/2023, 09:10

Design and analysis of experiments

For the two three-way ANOVA models $A \times BB \times CC$ and $(A \succ BB) \times CC$ (doubled letters indicate random factors) an exact $F$-test does not exist, for testing the hypothesis that the fixed factor $A$ has no effect. Approximate $F$-tests can be obtained by Satterthwaite's approximation. The approximate $F$-test involves mean squares to be simulated. To approximate the power of...