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Use the problem of estimating θ for the Unif(0, θ) distribution to illustrate how the bootstrap c...

Use the problem of estimating θ for the Unif(0, θ) distribution to illustrate how the bootstrap can fail for extremes.

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The Bootsthap ethod is e sampting The purpose bootstsap is to consbue aslimatinpara meter so the staisc we woud lire boots a0 ontan 32 ズの Ce 0) bycaluah) by resu) or exponenutial dusin colh mean o Noud we Porm a boots and ustn conBut observe ttaaヌ 愉2x(n) with paro b So tbe bootstrap dist) ha』尸ont maes cd 2e even asymptethcally feuet thad The hte tirmit

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