Testing of two sample proportional intensity assumption for non-homogeneous Poisson processes

DOI10.1016/S0378-3758(99)00022-1zbMath1057.62529OpenAlexW2117022389MaRDI QIDQ1125525

S. H. Smith

Publication date: 1999

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(99)00022-1

zbMATH Keywords

ConsistencyRepairable systemsIntensity functionInnovation martingaleMartingale central limit theoremTrend comparison

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05) Markov processes: hypothesis testing (62M02)

Related Items (3)

On normal approximations for the two-sample problem on multidimensional tori ⋮ The two-sample problem for Poisson processes: adaptive tests with a nonasymptotic wild bootstrap approach ⋮ Non-parametric Tests for Recurrent Events under Competing Risks

Cites Work

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• On the Foundations of Reliability
• On comparing two poisson intensity functions
• Goodness-of-fit tests for the power-law process
• Testing the hypothesis of proportional hazards in two populations

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