Literature DB >> 11280850

Estimation in degradation models with explanatory variables.

V Bagdonavicius1, M S Nikulin.   

Abstract

Influence of covariates on degradation is modelled. Models which include dependence of the intensity of the process of traumatic events on the degradation level are also discussed. Estimation of reliability and degradation characteristics from data with covariates is considered in dynamic environments.

Entities:  

Mesh:

Year:  2001        PMID: 11280850     DOI: 10.1023/a:1009629311100

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  6 in total

1.  Some remarks on failure-times, surrogate markers, degradation, wear, and the quality of life.

Authors:  D R Cox
Journal:  Lifetime Data Anal       Date:  1999-12       Impact factor: 1.588

2.  Failure inference from a marker process based on a bivariate Wiener model.

Authors:  G A Whitmore; M J Crowder; J F Lawless
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

3.  Estimating degradation by a Wiener diffusion process subject to measurement error.

Authors:  G A Whitmore
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

4.  Gaussian models for degradation processes-Part I: Methods for the analysis of biomarker data.

Authors:  K A Doksum; S L Normand
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

5.  Methods for the estimation of failure distributions and rates from automobile warranty data.

Authors:  J Lawless; J Hu; J Cao
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

6.  Modelling accelerated degradation data using Wiener diffusion with a time scale transformation.

Authors:  G A Whitmore; F Schenkelberg
Journal:  Lifetime Data Anal       Date:  1997       Impact factor: 1.588

  6 in total
  6 in total

1.  Inference from accelerated degradation and failure data based on Gaussian process models.

Authors:  W J Padgett; Meredith A Tomlinson
Journal:  Lifetime Data Anal       Date:  2004-06       Impact factor: 1.588

2.  Covariates and random effects in a gamma process model with application to degradation and failure.

Authors:  Jerry Lawless; Martin Crowder
Journal:  Lifetime Data Anal       Date:  2004-09       Impact factor: 1.588

3.  Accelerated degradation models for failure based on geometric Brownian motion and gamma processes.

Authors:  Chanseok Park; W J Padgett
Journal:  Lifetime Data Anal       Date:  2005-12       Impact factor: 1.588

4.  Modeling of semi-competing risks by means of first passage times of a stochastic process.

Authors:  Beate Sildnes; Bo Henry Lindqvist
Journal:  Lifetime Data Anal       Date:  2017-07-22       Impact factor: 1.588

5.  Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information.

Authors:  Jingbin Wang; Xiaohong Wang; Lizhi Wang
Journal:  Sensors (Basel)       Date:  2017-09-15       Impact factor: 3.576

6.  Condition-based maintenance policy for a leased reman product.

Authors:  Hennie Husniah; Udjianna S Pasaribu; Rachmawati Wangsaputra; Bermawi P Iskandar
Journal:  Heliyon       Date:  2021-04-07
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.