Nonparametric Method for Estimating the Distribution of Time to Failure of Engineering Materials

DOI10.1007/978-3-319-41582-6_15zbMath1366.62070OpenAlexW2518810128MaRDI QIDQ5280092

Antonio Meneses, Ignacio López-de-Ullibarri, Javier Tarrío-Saavedra, Salvador Naya

Publication date: 20 July 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-41582-6_15

zbMATH Keywords

fatigue crack growthstatistical learningnonlinear mixed effectsParis-Erdogan modellinear mixed effectsnonparametric kernel distribution function estimation

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Applications of statistics in engineering and industry; control charts (62P30) Reliability and life testing (62N05)

Uses Software

• S-PLUS
• faraway
• nlme
• KernSmooth
• gamair
• MEMSS
• kerdiest
• fda.usc
• pspline
• SPLIDA

Cites Work

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• On the use of the bootstrap for estimating functions with functional data
• Mixed-Effects Models in S and S-PLUS
• Multistage plug—in bandwidth selection for kernel distribution function estimates
• Linear mixed models for longitudinal data

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