Evaluation of statistical methods for assessing reliability from degradation data : A simulation study

被引:2
|
作者
Hove, Herbert [1 ]
机构
[1] Univ Witwatersrand, Sch Stat & Actuarial Sci, Private Bag 3, ZA-2050 Johannesburg, South Africa
关键词
Reliability assessment; 100ppt percentile; Simulation study; Performance measures; Bias; Precision; Coverage probability;
D O I
10.1080/09720510.2020.1862961
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper deals with the evaluation of statistical methods for assessing product reliability from degradation data. The evaluation is based on a simulation study. Benefits of assessing reliability from degradation data over censored failure time data are demonstrated using data from the first simulation run. Bias, precision and coverage probability calculated from the 10(5) simulated samples are the performance measures used in the evaluation. Analysis of a real gallium arsenide (GaAs) laser data set for telecommunication systems emphasizes the practical advantages of assessing reliability from degradation data.
引用
收藏
页码:1339 / 1361
页数:23
相关论文
共 44 条
  • [31] Matching methods to create paired survival data based on an exposure occurring over time: a simulation study with application to breast cancer
    Savignoni, Alexia
    Giard, Caroline
    Tubert-Bitter, Pascale
    De Rycke, Yann
    BMC MEDICAL RESEARCH METHODOLOGY, 2014, 14
  • [32] Toward a rigorous assessment of the statistical performances of methods to estimate the Minimal Important Difference of Patient-Reported Outcomes: A protocol for a large-scale simulation study
    Vanier, Antoine
    Leroy, Maxime
    Hardouin, Jean-Benoit
    METHODS, 2022, 204 : 396 - 409
  • [33] AN ANALYSIS OF INTEROBSERVER RELIABILITY AND REPRESENTATIVENESS OF DATA FROM THE VETERANS AFFAIRS COOPERATIVE STUDY ON PROCESSES, STRUCTURES, AND OUTCOMES IN CARDIAC-SURGERY
    HENDERSON, WG
    MORITZ, TE
    SHROYER, AL
    JOHNSON, R
    MARSHALL, G
    ELLIS, NK
    SETHI, GK
    GROVER, FL
    HAMMERMEISTER, KE
    MEDICAL CARE, 1995, 33 (10) : OS86 - OS101
  • [34] Incidence rates of narcolepsy diagnoses in Taiwan, Canada, and Europe: The use of statistical simulation to evaluate methods for the rapid assessment of potential safety issues on a population level in the SOMNIA study
    Dodd, Caitlin N.
    de Ridder, Maria
    Huang, Wan-Ting
    Weibel, Daniel
    Giner-Soriano, Maria
    Perez-Vilar, Silvia
    Diez-Domingo, Javier
    Svenson, Lawrence W.
    Mahmud, Salanddin M.
    Carleton, Bruce
    Naus, Monika
    Kwong, Jeffrey C.
    Murray, Brian J.
    Arnheim-Dahlstrom, Lisen
    Pedersen, Lars
    Morros, Rosa
    Javier Puertas, Francisco
    Black, Steven
    Sturkenboom, Miriam
    PLOS ONE, 2018, 13 (10):
  • [35] Performance evaluation of interpolation methods for incorporating rain gauge measurements into NEXRAD precipitation data: a case study in the Upper Guadalupe River Basin
    Xie, Hongjie
    Zhang, Xuesong
    Yu, Beibei
    Sharif, Hatim
    HYDROLOGICAL PROCESSES, 2011, 25 (24) : 3711 - 3720
  • [36] Latent variables and propensity score matching: a simulation study with application to data from the Programme for International Student Assessment in Poland
    Jakubowski, Maciej
    EMPIRICAL ECONOMICS, 2015, 48 (03) : 1287 - 1325
  • [37] The impacts of measurement errors on a dietary pattern analyses:a simulation study based on dietary data from the China Multi-Ethnic Cohort (CMEC) study
    Hu, Yifan
    Tang, Dan
    Yang, Fan
    Dai, Suyao
    Xiao, Xiong
    Zhao, Xing
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2022, 116 (02) : 523 - 530
  • [38] The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study
    Bonander, Carl
    Nilsson, Anton
    Bjork, Jonas
    Blomberg, Anders
    Engstrom, Gunnar
    Jernberg, Tomas
    Sundstrom, Johan
    Ostgren, Carl Johan
    Bergstrom, Goran
    Stromberg, Ulf
    PLOS ONE, 2022, 17 (03):
  • [39] Comparing Propensity Score Methods Versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections
    Amoah, Joe
    Stuart, Elizabeth A.
    Cosgrove, Sara E.
    Harris, Anthony D.
    Han, Jennifer H.
    Lautenbach, Ebbing
    Tamma, Pranita D.
    CLINICAL INFECTIOUS DISEASES, 2020, 71 (09) : E497 - E505
  • [40] Empirical evaluation of internal validation methods for prediction in large-scale clinical data with rare-event outcomes: a case study in suicide risk prediction
    Coley, R. Yates
    Liao, Qinqing
    Simon, Noah
    Shortreed, Susan M. M.
    BMC MEDICAL RESEARCH METHODOLOGY, 2023, 23 (01)