Testing monotonicity of a hazard: asymptotic distribution theory

DOI10.3150/12-BEJ437zbMath1283.62207arXiv1101.3333MaRDI QIDQ2435230

Geurt Jongbloed, Piet Groeneboom

Publication date: 4 February 2014

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1101.3333

zbMATH Keywords

failure rateconvex minorantsglobal asymptoticsHungarian embedding

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Characterization and structure theory of statistical distributions (62E10) Reliability and life testing (62N05)

Related Items (4)

Testing convexity of the generalised hazard function ⋮ Isotonic \(L_{2}\)-projection test for local monotonicity of a hazard ⋮ Testing monotonicity via local least concave majorants ⋮ Limit theory in monotone function estimation

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