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Peter Goos

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.ME2
ORCID 0000-0002-3854-6506

identity via Semantic Scholar / OpenAlex

most citedBayesian D- and I-optimal designs for choice experiments involving mixtures and process variables

9 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2023★ 9 cited

Bayesian D- and I-optimal designs for choice experiments involving mixtures and process variables

Mario Becerra, Peter Goos

Many food products involve mixtures of ingredients, where the mixtures can be expressed as combinations of ingredient proportions. In many cases, the quality and the consumer prefe…

stat.ME2023★ 2 cited

Enumeration of regular fractional factorial designs with four-level and two-level factors

Alexandre Bohyn, Eric D. Schoen, Peter Goos

Designs for screening experiments usually include factors with two levels only. Adding a few four-level factors allows for the inclusion of multi-level categorical factors or quant…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.