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Michael Armstrong

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • stat.ML1
ORCID 0000-0002-6062-6318

identity via Semantic Scholar / OpenAlex

most citedUntargeted Region of Interest Selection for GC-MS Data using a Pseudo F-Ratio Moving Window (ψFRMV)

15 citations · 23 across the 4 of their papers we have counts for

collaborators
Showing stat.MEShow all

3 papers · 1 filter

stat.ME2024

An alignment-agnostic methodology for the analysis of designed separations data

Michael Sorochan Armstrong, José Camacho

Chemical separations data are typically analysed in the time domain using methods that integrate the discrete elution bands. Integrating the same chemical components across several…

stat.ME2024★ 2 cited

Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations

Oliver Polushkina Merchanskaya, Michael D. Sorochan Armstrong, Carolina Gómez Llorente +5

Multifactorial experimental designs allow us to assess the contribution of several factors, and potentially their interactions, to one or several responses of interests. Following…

stat.ME2024★ 6 cited

Population Power Curves in ASCA with Permutation Testing

Jose Camacho, Michael Sorochan Armstrong

In this paper, we revisit the Power Curves in ANOVA Simultaneous Component Analysis (ASCA) based on permutation testing, and introduce the Population Curves derived from population…

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