Inference on the endpoint of human lifespan and its inherent statistical difficulty, Discussion on the paper by Holger Rootzén and Dmitrii Zholud

DOI10.1007/s10687-018-0320-1zbMath1402.62291OpenAlexW2803062356WikidataQ129888723 ScholiaQ129888723MaRDI QIDQ1792621

Shrijita Bhattacharya, Stilian A. Stoev

Publication date: 12 October 2018

Published in: Extremes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10687-018-0320-1

zbMATH Keywords

order statisticsregular variationend-point of a distributionhuman lifespantesting affinity

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30) Extreme value theory; extremal stochastic processes (60G70) Statistics of extreme values; tail inference (62G32)

Related Items

Rejoinder to discussion of the paper ``Human life is unlimited -- but short

Uses Software

• Matlab

Cites Work

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• Asymptotics in statistics. Some basic concepts.
• Tailor-made tests for goodness of fit to semiparametric hypotheses