A Theory on Optimal Factorial Designs - Runchu ZHANG, Shengli ZHAO, Pengfei LI - EDP Sciences

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A Theory on Optimal Factorial Designs

de Runchu ZHANG (auteur), Shengli ZHAO (auteur), Pengfei LI (auteur)
Maison d'édition : EDP Sciences
décembre 2025

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Résumé

A Theory on Optimal Factorial Designs presents a rigorous and unified treatment of factorial design theory, centered on the general minimum lower-order confounding (GMC) criterion.It develops the theoretical foundations of the GMC criterion and demonstrates its wide-ranging applications to two-level, blocked, split-plot, compromise, robust parameter, and s-level designs, as well as to orthogonal arrays.Experimental design and analysis is a cornerstone of mathematical statistics, with extensive applications in agriculture, engineering, medicine, and the social sciences. Among established methodologies, factorial designs remain one of the most powerful and efficient tools for investigating systems involving multiple factors.The GMC criterion provides a principled framework for selecting optimal factorial designs by rigorously quantifying and minimizing confounding among factor effects. This work delivers both theoretical insights and practical methodological guidance, making it a valuable reference for researchers and graduate students in statistics and allied disciplines.

Auteur

  • Runchu ZHANG (auteur)

    Runchu ZHANG is Professor Emeritus at Nankai University.

  • Shengli ZHAO (auteur)

    Shengli ZHAO is Dean and Professor at Qufu Normal University.

  • Pengfei LI (auteur)

    Pengfei LI, Professor and Math Faculty Research Chair at the University of Waterloo, is an IMS Fellow and CRM-SSC Prize recipient.

Auteur(s) : Runchu ZHANG, Shengli ZHAO, Pengfei LI

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Caractéristiques

Éditeur : EDP Sciences

Auteur(s) : Runchu ZHANG, Shengli ZHAO, Pengfei LI

Publication : 26 décembre 2025

Intérieur : Noir & blanc

Support(s) : Livre numérique eBook [PDF]

Contenu(s) : PDF

Protection(s) : Aucune (PDF)

Taille(s) : 2,46 Mo (PDF)

Langue(s) : Anglais

Code(s) CLIL : 3056

EAN13 Livre numérique eBook [PDF] : 9782759839469

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