Lower bounds of projection weighted symmetric discrepancy on uniform designs

Summary A critical aspect of experimental designs is to determine the effective and efficient lower bounds of the discrepancy criterion in uniform designs. These lower bounds serve as benchmarks for measuring the design uniformity and for constructing uniform designs. Nowadays, symmetric discrepancy and projection weighted symmetric discrepancy are two commonly used discrepancy criteria. In this paper, we investigate the general lower bounds of these two discrepancies for symmetric multi‐level designs and present sharp lower bounds for three‐level designs, thereby complementing the existing lower bound theory of discrepancies in uniform designs. Several design examples are used to validate the theoretical results presented. Furthermore, we conduct two popular practical computer experiments to evaluate the performance of uniform designs based on these two discrepancies.

Authors

Institutions

Publication Details

Journal
Australian & New Zealand Journal of Statistics
Published
2025-01-27
DOI
https://doi.org/10.1111/anzs.12433
Primary Topic
Mathematical Approximation and Integration
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lower bounds of projection weighted symmetric discrepancy on uniform designs

Kang Fu, Yao Xiao, Hao Zheng
Australian & New Zealand Journal of Statistics
Mathematical Approximation and Integration
article

Lower bounds of projection weighted symmetric discrepancy on uniform designs

Kang Fu, Yao Xiao, Hao Zheng
article en

Abstract

Summary A critical aspect of experimental designs is to determine the effective and efficient lower bounds of the discrepancy criterion in uniform designs. These lower bounds serve as benchmarks for measuring the design uniformity and for constructing uniform designs. Nowadays, symmetric discrepancy and projection weighted symmetric discrepancy are two commonly used discrepancy criteria. In this paper, we investigate the general lower bounds of these two discrepancies for symmetric multi‐level designs and present sharp lower bounds for three‐level designs, thereby complementing the existing lower bound theory of discrepancies in uniform designs. Several design examples are used to validate the theoretical results presented. Furthermore, we conduct two popular practical computer experiments to evaluate the performance of uniform designs based on these two discrepancies.

Australian & New Zealand Journal of StatisticsVol. 67(1)
Beijing Institute of Technology (CN), Hubei University of Chinese Medicine (CN), Central China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 97%
Mathematical Approximation and Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.