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Cases of statistical analysis in materials science: Difficulties and solutions

  • Y. Lara-Rodríguez
  • , M. Sánchez-Peña
  • , Y. Cedeño Mattei
  • , O. Perales
  • , H. E. Calderón
  • , O. Marcelo Suárez
  • , O. Chacón
  • , M. Cabrera-Ríos
  • Universidad of Nuevo Leon (UANL)
  • University of Puerto Rico

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Experimental characterization of new materials requires an effective application of statistical experimental design concepts and techniques. Ideally, these techniques will be considered from the planning stage. In reality, however, the decision to consider analysis techniques is often made when a project has already a certain degree of advance. This situation imposes limitations to what statistical analysis can accomplish. In this work, three case studies with varying degrees of advance at the moment of introducing statistical analysis are discussed in terms of its limitations as well as the possibilities to improve the experiment’s capabilities.

Original languageEnglish
Pages (from-to)489-496
Number of pages8
JournalRevista Mexicana de Ingeniera Quimica
Volume14
Issue number2
StatePublished - Aug 2015

Keywords

  • Analysis of Variance (ANOVA)
  • Brinell hardness
  • Ciencias de materials science
  • Coercitivity
  • Design of experiments (DOE)
  • Rockwell hardness

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