probability - Proof explanation - weak law of large numbers
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Let $(X_i)$ be i.i.d. random variables with mean $\mu$ and finite variance. Then $$\dfrac{X_1 + \dots + X_n}{n} \to \mu \text{ weakly }$$ I have the proof here: What I don't understand is, why it
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Solved In this exercise, we shall construct an example of a
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PDF) On a survey of uniform integrability of sequences of random variables.
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The weak law of large numbers is a very strong
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Proof of Strong law of large numbers and weak law of large numbers
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statement and proof of weak law of large numbers
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L18.4 The Weak Law of Large Numbers
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Law of Large Numbers: What It Is, How It's Used, Examples
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A proof of the weak law of large numbers