A note on the best attainable rates of convergence for estimates of the shape parameter of regular variation
Meitner Cadena

TL;DR
This paper improves the known lower bound on the rates of convergence for estimating the shape parameter of regular variation, advancing theoretical understanding of estimator efficiency.
Contribution
It provides a tighter lower bound on convergence rates, refining previous results by Hall and Welsh from 1984.
Findings
Improved lower bound on convergence rates
Enhanced theoretical limits for shape parameter estimation
Refinement of previous bounds from 1984
Abstract
Hall and Welsh gave in 1984 the lowest bound so far to rates of convergence for estimates of the shape parameter of regular variation. We show that this bound can be improved.
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Taxonomy
TopicsMathematical Approximation and Integration · Statistical Methods and Inference · Medical Image Segmentation Techniques
