Survival analysis in Johnson-Mehl tessellation

DOI10.1007/s11203-006-9006-4zbMath1148.62080OpenAlexW1986063831MaRDI QIDQ946285

Giacomo Aletti, Diane Saada

Publication date: 22 September 2008

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-006-9006-4

zbMATH Keywords

Kaplan-Meier estimatorNelson-Aalen estimatorcrystallization processJohnson-Mehl tessellations

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Applications of statistics in engineering and industry; control charts (62P30) Inference from stochastic processes (62M99) Estimation in survival analysis and censored data (62N02) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items

Randomization in survival analysis ⋮ Statistical aspects of fuzzy monotone set-valued stochastic processes. Application to birth-and-growth processes

Cites Work

• Randomization in survival analysis
• Random Johnson-Mehl tessellations
• The stochastic geometry of polymer crystallization processes¹
• Kinetic anomalies in addition-aggregation processes
• Survival Functions and Contact Distribution Functions for Inhomogeneous, Stochastic Geometric Marked Point Processes
• Generation of Johnson-Mehl crystals and comparative analysis of models for random nucleation
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