Mean Test for Matrix-Valued Data with Optimal Projection Method

A figshare-hosted dataset by Jihang Jia, last updated March 2026, containing materials for a statistical test of the mean matrix. The 3.4 MB resource includes PDF, ZIP, and TXT files detailing a projection-based method that incorporates structural information of matrix-valued data.

Use Cases

• Evaluating the performance of a new mean matrix test based on the described optimal projection direction.
• Benchmarking statistical methods for matrix-valued data using the provided simulation studies.
• Applying the rank-one mean matrix testing procedure to real-world data analysis problems.

Strengths

• Includes supplementary materials linked to a published article (DOI: 10.1080/10618600.2026.2619517).
• Released under a permissive CC-BY-4.0 license.
• Last updated on 2026-03-17, indicating recent maintenance.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The 3.4 MB size suggests a small dataset, potentially limited in scope.

Provenance

Source

figshare, author Jihang Jia

Collection Method

Likely contains research materials, simulation data, and analysis code supporting the described statistical method.

Time Range

Publication date suggests materials are from circa 2026.

Freshness

Last updated 2026-03-17 22:57:54

Geography

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