Nonparametric Estimation of Time Trend for Repairable Systems Data

DOI10.1007/978-0-8176-4971-5_21zbMath1407.62109OpenAlexW206913839MaRDI QIDQ4562207

Bo Henry Lindqvist

Publication date: 18 December 2018

Published in: Mathematical and Statistical Models and Methods in Reliability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-8176-4971-5_21

zbMATH Keywords

kernel estimatortrend-renewal process

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Reliability and life testing (62N05)

Uses Software

• SPLIDA

Cites Work

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• Maximum likelihood kernel density estimation: on the potential of convolution sieves
• Smoothing counting process intensities by means of kernel functions
• Some nonparametric techniques for estimating the intensity function of a cancer related nonstationary Poisson process
• Nonparametric maximum likelihood estimation by the method of sieves
• On the statistical modeling and analysis of repairable systems
• Statistical models based on counting processes

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