
doi: 10.2307/3316076
AbstractThe authors consider the problem of estimating the density of the radii of spheres in a medium, based on their observed random cross‐sections. This problem is known as Wicksell's corpuscle problem. The authors first convert Wicksell's integral equation to a form suitable for the application of thresholding wavelet methods to solve ill‐posed integral equations, given noisy data. They then derive the asymptotic properties of their estimators and compare them with other methods available via a Monte Carlo simulation study. They also illustrate their approach with some real data.
Density estimation, corpuscle problem, Abel integral equation, Besov spaces, adaptive estimation, Computational problems in statistics, wavelet thresholding, Monte Carlo methods, Nontrigonometric harmonic analysis involving wavelets and other special systems, fractional integration, linear estimators
Density estimation, corpuscle problem, Abel integral equation, Besov spaces, adaptive estimation, Computational problems in statistics, wavelet thresholding, Monte Carlo methods, Nontrigonometric harmonic analysis involving wavelets and other special systems, fractional integration, linear estimators
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