17 citations · 25 across the 7 of their papers we have counts for
7 papers
Orthogonal Subsampling for Big Data Linear Regression
Lin Wang, Jake Elmstedt, Weng Kee Wong +1
The dramatic growth of big datasets presents a new challenge to data storage and analysis. Data reduction, or subsampling, that extracts useful information from datasets is a cruci…
A trigonometric approach to quaternary code designs with application to one-eighth and one-sixteenth fractions
Runchu Zhang, Frederick K. H. Phoa, Rahul Mukerjee +1
The study of good nonregular fractional factorial designs has received significant attention over the last two decades. Recent research indicates that designs constructed from quat…
Quarter-fraction factorial designs constructed via quaternary codes
Frederick K. H. Phoa, Hongquan Xu
The research of developing a general methodology for the construction of good nonregular designs has been very active in the last decade. Recent research by Xu and Wong [Statist. S…
Recent Developments in Nonregular Fractional Factorial Designs
Hongquan Xu, Frederick K. H. Phoa, Weng Kee Wong
Nonregular fractional factorial designs such as Plackett-Burman designs and other orthogonal arrays are widely used in various screening experiments for their run size economy and…
A complementary design theory for doubling
Hongquan Xu, Ching-Shui Cheng
Chen and Cheng [Ann. Statist. 34 (2006) 546--558] discussed the method of doubling for constructing two-level fractional factorial designs. They showed that for $9N/32\le n\le 5N/1…
Blocked regular fractional factorial designs with minimum aberration
Hongquan Xu
This paper considers the construction of minimum aberration (MA) blocked factorial designs. Based on coding theory, the concept of minimum moment aberration due to Xu [Statist. Sin…