Optimal experimental designs for partial likelihood information
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Publication:1621367
DOI10.1016/j.csda.2012.10.009zbMath1471.62125OpenAlexW1976015880MaRDI QIDQ1621367
M. J. Rivas-López, Jesús López-Fidalgo
Publication date: 8 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2012.10.009
Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Censored data models (62N01)
Related Items (5)
Special issue on imprecision in statistical data analysis ⋮ Optimal experimental designs for accelerated failure time with Type I and random censoring ⋮ Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete ⋮ Optimal designs for full and partial likelihood information -- with application to survival models ⋮ Optimal design of experiments with the observation censoring driven by random enrollment of subjects
Cites Work
- Construction of marginally and conditionally restricted designs using multiplicative algorithms
- Hybrid censoring: models, inferential results and applications
- Partial likelihood
- Optimal Progressive Type-II Censoring Schemes for Nonparametric Confidence Intervals of Quantiles
- Statistical models based on counting processes
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