The central limit theorem without the condition of independence
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Necessary and sufficient conditions are presented for sums of asymptotically independent random variables to converge to a normal random variable in the sense of total variation distance, uniform metric for characteristic functions. and mean metric of order q.
KeywordsCharacteristic Function Limit Theorem Random Vector Central Limit Theorem Independent Random Variable
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