The phrase "a robust experiment" is correct and usable in written English.
It can be used when describing an experiment that is strong, well-designed, and capable of producing reliable results.
Example: "The researchers conducted a robust experiment to test the effectiveness of the new drug."
Alternatives: "a rigorous experiment" or "a thorough experiment".
In the spirit of scientific notebook-reviewing duty, I conducted a robust experiment.
Using the Taguchi method for design of a robust experiment, the interactions between factors are also investigated.
The Taguchi method for the design of a robust experiment, with an orthogonal array, a signal-to-noise ratio and an analysis of variance are used to analyze the performance characteristics of the deposition parameters.
"a robust experiment would also include a random, unrelated diet, e.g., one derived from organic maize)….. Critical details on how much food was consumed by each rat are absent, making it impossible to establish any dose/response relationship".
They claim that there is insufficient detail about the feed materials; as in the VIB quote above, and by Wager [15]: "a robust experiment would also include a random, unrelated diet, e.g., one derived from organic maize)….. Critical details on how much food was consumed by each rat are absent, making it impossible to establish any dose/response relationship".
We present a method for robust experiment design based on a semidefinite programming relaxation.
A numerical example is used to examine the applicability to robust experiment design.
This paper develops the idea of min max robust experiment design for dynamic system identification.
The robust experiment design and straightforward data processing are advantageous for routine core analysis applications.
In this framework, Yue et al. [ 13] examine optimally designed parameter estimation methods that are robust to model uncertainties (robust experiment design).
To ensure that the results obtained are qualitatively robust, experiments should be run across a range of training pool/test set splits, a range of architectures and a range of random number seeds – as was done for the present study.
