Pages that link to "Item:Q1906150"
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The following pages link to Gaussian models for degradation processes. I: Methods for the analysis of biomarker data (Q1906150):
Displaying 34 items.
- Mis-specification analyses of gamma and Wiener degradation processes (Q719462) (← links)
- Evidence synthesis through a degradation model applied to myocardial infarction (Q746402) (← links)
- Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin (Q825268) (← links)
- Accelerated degradation models for failure based on geometric Brownian motion and gamma processes (Q995968) (← links)
- Joint modeling of degradation and failure time data (Q1007428) (← links)
- Failure inference from a marker process based on a bivariate Wiener model (Q1273844) (← links)
- Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods (Q1653357) (← links)
- Unbiased parameters estimation and mis-specification analysis of Wiener process-based degradation model with random effects (Q2109681) (← links)
- A time-discrete and zero-adjusted gamma process model with application to degradation analysis (Q2142316) (← links)
- Objective Bayesian analysis accelerated degradation test based on Wiener process models (Q2289279) (← links)
- A new class of survival distribution for degradation processes subject to shocks (Q2325274) (← links)
- Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary (Q2381748) (← links)
- Optimum step-stress accelerated degradation test for Wiener degradation process under constraints (Q2629683) (← links)
- Designing a Degradation Test with a Two-Parameter Exponential Lifetime Distribution (Q2876115) (← links)
- Statistical Models to Analyze Failure, Wear, Fatigue, and Degradation Data with Explanatory Variables (Q3645025) (← links)
- Degradation rate models for failure time and survival data (Q3990042) (← links)
- ANALYSIS OF PROTEIN ACTIVITY DATA BY GAUSSIAN STOCHASTIC PROCESS MODELS (Q4244523) (← links)
- Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach (Q4559439) (← links)
- Gamma Degradation Models: Inference and Optimal Design (Q4559450) (← links)
- Misspecification Analysis of Gamma with Inverse Gaussian Degradation Processes (Q4559452) (← links)
- Stochastic comparisons and ageing properties of an extended gamma process (Q4964785) (← links)
- Degradation data analysis for samples under unequal operating conditions: a case study on train wheels (Q5127133) (← links)
- A semiparametric inverse‐Gaussian model and inference for survival data with a cured proportion (Q5175767) (← links)
- A Bivariate Gamma Model for a Latent Degradation Process (Q5419693) (← links)
- Reliability assessment for products with two performance characteristics based on marginal stochastic processes and copulas (Q5867415) (← links)
- Step-stress accelerated degradation test planning based on Wiener process with correlation (Q5879956) (← links)
- Regression Analysis of Spatially Correlated Event Durations With Missing Origins Annotated by Longitudinal Measures (Q6069484) (← links)
- Profile optimum planning for degradation analysis (Q6077372) (← links)
- A new class of semiparametric transformation models based on first hitting times by latent degradation processes (Q6537853) (← links)
- Reliability inference for the Wiener degeneration model with measurement errors (Q6559907) (← links)
- Stochastic modelling and analysis of degradation for highly reliable products (Q6574676) (← links)
- A novel replacement policy for a linear deteriorating system using stochastic process with dependent components (Q6576846) (← links)
- Statistical inference for a Wiener-based degradation model with imperfect maintenance actions under different observation schemes (Q6581497) (← links)
- Student-<i>t</i>Processes for Degradation Analysis (Q6636543) (← links)
