This article describes the R package FrF2 for design and analysis of experiments with 2-
level factors. The package offers both regular and non-regular fractional factorial 2-level …

Regular fractional factorial designs with 2-level factors are among the most frequently used
experimental plans. In many cases, designs should be blocked for dealing with …

This note builds on results from Wu, Mee, and Tang's article (henceforth WMT) on
admissible fractional factorial two-level designs, specifically concentrating on the …

Alias structures for two-level fractional designs are commonly used to describe the
correlations between different terms. The concept of alias structures can be extended to …

Motivated by the effect hierarchy principle, Zhang et al.(Stat Sinica 18: 1689–1705, 2008)
introduced an aliased effect number pattern (AENP) for regular fractional factorial designs …

In this paper, the idea of clear effects is extended to the case of blocked regular 2^ nm 2 nm
designs with multi block variables. Some necessary and sufficient conditions on the …

Two-level factorial designs are widely used in industry. For experiments involving n factors,
the construction of designs comprising 2 n and 2 np factorials, arranged in blocks of size 2 q …

Abstract Wang and Stufken (J Stat Theory Practice 14 (2): 1–15, 2020) identified locally D-
optimal designs for generalized linear models with factorial effects and one continuous …

As explained in Chapter 1, the purpose of a factorial experiment is to investigate the average
contribution that each treatment factor makes to the response (called the factor main effect) …

Extensive studies have been conducted on how to select efficient designs with respect to a
criterion. Most design criteria aim to capture the overall efficiency of the design across all …