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\lim_{n\to\infty}\Pr \big(\big|g(X_n)-g(X)\big|>\varepsilon\big) = 0,
</math>
which means that ''g''(''X<sub>n</sub>'') converges to ''g''(''X'') in
===Convergence almost surely===
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Line 61:
\lim_{n\to\infty}\Pr \big(\big|g(X_n)-g(X)\big|>\varepsilon\big) = 0,
</math>
which means that ''g''(''X<sub>n</sub>'') converges to ''g''(''X'') in
===Convergence almost surely===
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