On Nonparametric Estimation in Accelerated Experiments with Step-Stresses

DOI10.1080/02331880008802700zbMath0970.62068OpenAlexW1992623693MaRDI QIDQ4943295

Vilijandas B. Bagdonavičius, Mikhail S. Nikulin

Publication date: 3 October 2001

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880008802700

zbMATH Keywords

accelerated life testingfunctional delta methodaccelerated failure time model

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (3)

Statistical planning and inference in accelerated life testing using the CHSS model ⋮ Reliability nonparametric Bayesian estimation for the masked data of parallel systems in step-stress accelerated life tests ⋮ Statistical Models to Analyze Failure, Wear, Fatigue, and Degradation Data with Explanatory Variables

Cites Work

• Estimating regression parameters using linear rank tests for censored data
• Inference for step-stress accelerated life tests
• Semiparametric inference for the accelerated life model with time- dependent covariates
• The modified moment method for multiply censored samples
• A large sample study of rank estimation for censored regression data
• Nonparametric Accelerated Life Testing
• An Exact Distribution-Free Analysis for Accelerated Life Testing at Several Levels of a Single Stress
• Asymptotical Analysis of Semiparametric Models in Survival Analysis and Accelerated Life Testing
• Transfer functionals and semiparametric regression models
• Statistical models based on counting processes

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