How can I solve this integral?

How can I solve the following integral?

$$\int_{-\infty}^\infty \prod_{i=1}^n \bigg( 1 - \Phi\left(\frac{c - \mu_i}{\sigma_i}\right) \bigg) \frac{1}{\sigma_Y}\phi \bigg(\frac{c-\mu_Y}{\sigma_Y} \bigg) \,\mathrm dc$$

where Φ(⋅) is the CDF of Normal distribution and ϕ(⋅) is the pdf of Normal distribution.

even when $n=1$ I cannot solve it. I would appreciate if you could help me either for the case that $n=1$ or the above general case.

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I know this is from statistics, but you may want to define your terms for the nonspecialists who still may be able to help you. – Ron Gordon Feb 5 '13 at 1:12
IF $\Phi(\cdot)$ is the CDF of Normal RV and $\phi(\cdot)$ is the pdf of Normal RV, did you try $\frac{1}{\sigma} \phi \bigg( \frac{c-\mu}{\sigma} \bigg)dc=d \Phi \bigg(\frac{c-\mu}{\sigma} \bigg)$ – Alex Feb 5 '13 at 1:34
thank you I edited the question – Julie Feb 5 '13 at 1:38
No I did not try this. How can this substitution solve this integral? – Julie Feb 5 '13 at 1:44
Got something from my answer below? – Did Feb 9 '13 at 11:31

Considering independent random variables $X_i$ and $Y$, gaussian with mean and variance $(\mu_i,\sigma_i^2)$ and $(\mu_Y,\sigma_Y^2)$ respectively, this integral is $$\mathbb P(\min\limits_{1\leqslant i\leqslant n}X_i\geqslant Y).$$ If $n=1$, its value is $$\Phi\left(\frac{\mu_1-\mu_Y}{\sqrt{\sigma_1^2+\sigma_Y^2}}\right).$$ For $n\geqslant2$, I see no reason to expect some simple explicit formulas in the general case.