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Forskningsartikel2021Vetenskapligt granskadÖppen tillgång

Profile Analysis in High Dimensions

Cengiz, Cigdem; von Rosen, Dietrich; Singull, Martin

Sammanfattning

The three tests in profile analysis: test of parallelism, test of level and test of flatness are modified so that high-dimensional data can be analysed. Using specific scores, dimension reduction is performed and the exact null distributions are derived for the three hypotheses.

Nyckelord

High-dimensional data; Hypothesis testing; Linear scores; Multivariate analysis; Profile analysis; Spherical distributions

Publicerad i

Journal of Statistical Theory and Practice
2021, Volym: 15, nummer: 1, artikelnummer: 15
Utgivare: SPRINGER