Asymptotic properties of a correlation matrix under a two-step monotone incomplete sample

This paper derives an asymptotic distribution for a correlation matrix in the context of a two-step monotone incomplete sample drawn from Np+q(μ,Σ)Np+q(μ,Σ), a multivariate normal population with mean μ and covariance matrix Σ. Based on the result, we perform hypothesis testing for the correlation matrix and investigate its accuracy using numerical simulations.