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For a random vector $(X,Y)$ characterized by a copula $C_{X,Y}$ we study its perturbation $C_{X+Z,Y}$ characterizing the random vector $(X+Z,Y)$ affected by a noise $Z$ independent of both $X$ and $Y$. Several examples are added, including a new comprehensive parametric copula family ${\left({𝒞}_k\right)}_{k\in [-\infty ,\infty ]}$.

Assuming that $C_{X,Y}$ is the copula function of $X$ and $Y$ with marginal distribution functions $F_X\left(x\right)$ and $F_Y\left(y\right)$, in this work we study the selection distribution $Z\stackrel{\mathrm{d}}{=}\left(X\right|Y\in T)$. We present some special cases of our proposed distribution, among them, skew-normal distribution as well as normal distribution. Some properties such as moments and moment generating function are investigated. Also, some numerical analysis is presented for illustration.