Efficient estimation of the reciprocal of the density quantile function at a point (Q1079307)
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scientific article; zbMATH DE number 3962958
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Efficient estimation of the reciprocal of the density quantile function at a point |
scientific article; zbMATH DE number 3962958 |
Statements
Efficient estimation of the reciprocal of the density quantile function at a point (English)
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1986
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Let \(F_ n(x)\) be the edf of a sample from df F(x) having derivative \(f(x)>0\) at \(F^{-1}(p)\). Then \[ D(x,n,p)=n^{1/(2k- 1)}\int^{x}_{0}[F_ n^{-1}(p+vn^{2k-1})-F\quad_ n^{- 1}(p)]h(v)dv \] is a consistent estimator for \(1/f(F^{-1}(p))\). h(y) serves as a substitute for \(1/(v\cdot n^{2k-1})\) and it is assumed that \(h(y)e^ y\) is a polynomial of degree \(\leq k\), \(k\geq 2\). D(x,n,p) converges in mean square sense with rate \(n^{(2k-2)/(2k-1)}\). If \(k\leq 6\), then D(log n,n,p) is efficient among the class \(\{D(x,n,p)| x>0\}\).
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density quantile estimators
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quantile density function
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weak
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convergence
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asymptotic normality
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strong approximations
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consistent estimators for the reciprocal of the density quantile
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function
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mean square error
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0.9649682
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0.8929396
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0.87790173
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0.87662876
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