Test of Homogeneity for Some Population Models Based on Counting Processes

DOI10.1080/03610920701648888zbMath1318.62269OpenAlexW2013210084MaRDI QIDQ5450534

Raúl Fierro

Publication date: 12 March 2008

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/139176

zbMATH Keywords

asymptotic distributionhypothesis testingpopulation models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Central limit and other weak theorems (60F05) Markov processes: hypothesis testing (62M02)

Cites Work

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• Nonparametric inference for a family of counting processes
• Approximation Theorems of Mathematical Statistics
• Central limit theorems for local martingales
• Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper
• Non-parametric Tests for the Comparison of Point Processes Based on Incomplete Data

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