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Proving Markov's inequality:
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If g(x) >= 0, then for any constant c>0, r>0: \[P(g(X)\ge c)\le \frac{E[g(X)^r]}{c^r}\]
I keep finding proofs where there is no exponent r, and I understood the proof (like http://www.stat.cmu.edu/~larry/=stat705/Lecture2.pdf on page 2) But I'm not sure how to make it work with the exponent R in there :S
I think you can refer to Bernoulli for this proof.
How would I go about doing that
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