Pages that link to "Item:Q5966733"

The following pages link to Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution (Q5966733):

Displaying 50 items.

• Testing homogeneity of inverse Gaussian scale-like parameters: a saddlepoint approach (Q284179) (← links)
• Preventive replacement for systems with condition monitoring and additional manual inspections (Q320013) (← links)
• Testing the homogeneity of inverse Gaussian scale-like parameters (Q451149) (← links)
• Degradation-based residual life prediction under different environments (Q484033) (← links)
• Degradation modeling applied to residual lifetime prediction using functional data analysis (Q641105) (← links)
• A new generalized \(p\)-value for testing equality of inverse Gaussian means under heterogeneity (Q654481) (← links)
• Bayesian analysis for step-stress accelerated life testing using Weibull proportional hazard model (Q744803) (← links)
• Parameter inference from hitting times for perturbed Brownian motion (Q747369) (← links)
• Estimating duration distribution aided by auxiliary longitudinal measures in presence of missing time origin (Q825268) (← links)
• Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable (Q1010455) (← links)
• Wiener processes with random effects for degradation data (Q1049539) (← links)
• Level crossing problems and drift reliability (Q1361032) (← links)
• A penalized local D-optimality approach to design for accelerated test models (Q1417821) (← links)
• Degradation data analysis and remaining useful life estimation: a review on Wiener-process-based methods (Q1653357) (← links)
• Bivariate nonlinear diffusion degradation process modeling via copula and MCMC (Q1718567) (← links)
• On some conditional characteristics of hazard rate processes induced by external shocks (Q1785244) (← links)
• Accelerated degradation process analysis based on the nonlinear Wiener process with covariates and random effects (Q1793270) (← links)
• Statistical planning and inference in accelerated life testing using the CHSS model (Q1888312) (← links)
• Gaussian models for degradation processes. I: Methods for the analysis of biomarker data (Q1906150) (← links)
• Estimating degradation by a Wiener diffusion process subject to measurement error (Q1906162) (← links)
• Applying hierarchical Bayesian neural network in failure time prediction (Q1955406) (← links)
• Objective Bayesian analysis of degradation model with respect to a Wiener process (Q2014435) (← links)
• On the exact distribution of the likelihood ratio test statistic for testing the homogeneity of the scale parameters of several inverse Gaussian distributions (Q2032207) (← links)
• Two reliability acceptance sampling plans for items subject to Wiener process of degradation (Q2157399) (← links)
• Objective Bayesian analysis accelerated degradation test based on Wiener process models (Q2289279) (← links)
• A modeling method of stochastic parameters' inverse Gauss process considering measurement error under accelerated degradation test (Q2299030) (← links)
• Objective Bayesian analysis for the accelerated degradation model based on the inverse Gaussian process (Q2308213) (← 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)
• Analysis of time-to-failure data for a repairable system subject to degradation (Q2668032) (← links)
• Failure Inference and Optimization for Step Stress Model Based on Bivariate Wiener Model (Q2809589) (← links)
• Bayesian random-effects threshold regression with application to survival data with nonproportional hazards (Q3303589) (← links)
• Sequentially Updated Residuals and Detection of Stationary Errors in Polynomial Regression Models (Q3527719) (← links)
• Multiple step-stress accelerated life test: the tampered failure rate model (Q4275875) (← links)
• Inverse gaussian accelerated test models based on cumulative damage (Q4514239) (← links)
• Gamma Degradation Models: Inference and Optimal Design (Q4559450) (← links)
• Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model (Q4960546) (← links)
• Stochastic comparisons and ageing properties of an extended gamma process (Q4964785) (← links)
• Stochastic methodology for prognostics under continuously varying environmental profiles (Q4969901) (← links)
• Remaining useful life prediction: A multiple product partition approach (Q5042126) (← links)
• Score and Wald tests for the homogeneity of inverse Gaussian scale parameters based on computational approach test (Q5055159) (← links)
• A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing (Q5079145) (← links)
• Simultaneous confidence intervals for comparing several inverse Gaussian means under heteroscedasticity (Q5106819) (← links)
• Optimal design of accelerated degradation tests based on Wiener process models (Q5124762) (← links)
• A semiparametric inverse‐Gaussian model and inference for survival data with a cured proportion (Q5175767) (← links)
• Transformed Lévy processes as state-dependent wear models (Q5203944) (← links)
• Reliability assessment for products with two performance characteristics based on marginal stochastic processes and copulas (Q5867415) (← links)
• Reliability analysis for degradation and shock process based on truncated normal distribution (Q5867461) (← links)
• Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors (Q5879953) (← links)
• A tampered Brownian motion process model for partial step-stress accelerated life testing (Q5932163) (← links)