| 1. | This result is a specific case of the central limit theorem.
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| 2. | The normal distribution is useful because of the central limit theorem.
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| 3. | Local asymptotic normality is a generalization of the Central Limit Theorem.
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| 4. | The central limit theorem has a number of variants.
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| 5. | This is justified by considering the central limit theorem in the log domain.
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| 6. | Moreover, by the central limit theorem we have that
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| 7. | The central limit theorem gives only an asymptotic distribution.
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| 8. | Central limit theorem treats another sort of normal approximation.
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| 9. | :: : I agree the central limit theorem comes into play here.
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| 10. | Later I found out the connection between this and the Central Limit Theorem.
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