Quantile-Quantile Methodology -- Detailed Results
Douglas M Hawkins

TL;DR
This paper discusses the effectiveness of the linear quantile-quantile method for transforming data and testing for normality, confirming its good performance through detailed results.
Contribution
It provides a comprehensive analysis and detailed results validating the effectiveness of the quantile-quantile methodology for normality testing.
Findings
Quantile-quantile method effectively tests for normality.
The method provides reliable data transformation.
Performance is verified through detailed empirical results.
Abstract
The linear quantile-quantile relationship provides an easy-to-implement yet effective tool for transformation to and testing for normality. Its good performance is verified in this report.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFault Detection and Control Systems
