Comparison of marker-based pairwise relatedness estimators on a pedigreed plant population

On inconsistency of a pairwise comparison matrix

Performance of marker-based relatedness estimators in natural populations of outbred vertebrates.

Knowledge of relatedness between pairs of individuals plays an important role in many research areas including evolutionary biology, quantitative genetics, and conservation. Pairwise relatedness estimation methods based on genetic data from highly variable molecular markers are now used extensively as a substitute for pedigrees. Although the sampling variance of the estimators has been intensiv...

Estimating Seven Coefficients of Pairwise Relatedness Using Population-Genomic Data.

Population structure can be described by genotypic-correlation coefficients between groups of individuals, the most basic of which are the pairwise relatedness coefficients between any two individuals. There are nine pairwise relatedness coefficients in the most general model, and we show that these can be reduced to seven coefficients for biallelic loci. Although all nine coefficients can be e...

Determination of weight vector by using a pairwise comparison matrix based on DEA and Shannon entropy

The relation between the analytic hierarchy process (AHP) and data envelopment analysis (DEA) is a topic of interest to researchers in this branch of applied mathematics. In this paper, we propose a linear programming model that generates a weight (priority) vector from a pairwise comparison matrix. In this method, which is referred to as the E-DEAHP method, we consider each row of the pairwise...

on inconsistency of a pairwise comparison matrix