Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Abstract: This paper analyzes hyperspectral satellite tv for pc snap shots for land cover mapping with multivariate statistical analysis (MSA). It describes the method of mapping land cowl and how the ...

Permutational Multivariate Analysis of Variance (PERMANOVA) is a non-parametric statistical method used to assess the differences in multivariate data among groups or treatments. It is particularly ...

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

ABSTRACT: In wide area backup protection of electric power systems, the prerequisite of protection device's accurate, fast and reliable performance is its corresponding fault type and fault location ...