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英文论文
Tang Yincai, Fei Heliang, Maximum Likelihood Estimation in the Life Testing for the Two-Parameter Exponential Distribution with Replacement, Chinese Journal of Applied Probability and Statistics, Vol10 (1994), 399-404.
Fei Heliang, Kong Fanhui, Tang Yincai, Estimation for Two-parameter Weibull Distribution and Extreme value Distribution under Multiple Type II Censoring, Comunications in Statistics: Theory and Methods, Vol24(1995),2087-2104.
Tang Yincai,Constrained Improvement to the Parameter Estimation of Progressive Stress Accelerated Life Testing, Journal of Shanghai Normal University, 25(1996),12-18.
Tang Yincai, Fei Heliang, A New Way to Estimate the Parameters in the Progressive Stress Accelerated Life Testing, Applied Mathematics-JCU,11B(1996) ,445-458．
Tang Yincai, Approximated Parameter Estimation of Three-parameter Log-normal distributions Based on Generalized Least Squares Method, Journal of Shanghai Normal University, 4(2001).
Xu Haiyan, Tang Yincai, Commentary: The Khamis-Higgins Model, IEEE Transactions on Reliability, Vol.52 (1)（2003）, 1-6.
Yin-cai Tang, He-liang Fei, Detecting Change Points in Polynomial Regression Models with an Application to Cable Data Sets, Acta Mathematicae Applicatae Sinica, English Series, Vol. 20(4)（2004）, 541-546.
Yong-Bin Shi, Yin-Cai Tang, et.al. Two Classes of Simple MCD Graphs, 177-188, Lecture Notes 4381, Discrete Geometry, Combinatorics and Graph Theory, 2007. Springer-Verlag. pp177-188.
Ancha Xu, Yincai Tang, Bayesian Analysis of Pareto Reliability With Dependent Masked Data, IEEE on Reliability, Vol. 58( 4), 2009 : 583-588. DOI: 10.1109/TR.2009.2026811
Ancha Xu, Yincai Tang, Reference analysis for Birnbaum–Saunders distribution, Computational Statistics and Data Analysis, Vol54(1), 2010:185-192. DOI: 10.1016/j.csda.2009.08.004
Xiaodi Wang, Yincai Tang, et al.， Design of Experiment in Global Sensitivity Analysis Based on ANOVA High-Dimensional Model Representation, Communications in Statistics – Theory and Methods, Vol 39(6), 2010: 1183-1195. DOI: 10.1080/03610918.2010.484122
Ancha Xu, Yincai Tang, EM algorithm for degradation data analysis, Journal of East China Normal University (Natural Science), 2010(5): 38-48.
Linyi Qian, Wei Wang, Rongming Wang and Yincai Tang, Valuation of equity-indexed annuity under stochastic mortality and interest rate, Insurance: Mathematics and Economics, 47:123-129, 2010. DOI: 10.1016/j.insmatheco.2010.06.005
Ancha Xu, Yincai Tang, Nonparametric bayesian analysis of competing risks model with masked data, Communications in Statistics – Theory and Methods, Vol40(13), 2011: 2326-2336. DOI: 10.1080/03610921003786830
Ancha Xu, Yincai Tang, Bayesian analysis of Birnbaum–Saunders distribution with partial information, Computational Statistics and Data Analysis, Vol55(7), 2011: 2324-2333. DOI: 10.1016/j.csda.2011.01.021
Ancha Xu, Yincai Tang, Objective Bayesian analysis of accelerated competing failure models under Type-I censoring. Computational Statistics and Data Analysis, Vol55(10), 2011 OCT: 2830-2839. DOI: 10.1016/j.csda.2011.04.009
Xiaodi Wang, Yincai Tang, Yingshan Zhang, Orthogonal Arrays for the Estimation of Global Sensititity Indeces Based on ANOVA High-Dimensional Model Representation, Communications in Statistics - Simulation and Computation, Vol40(9), 2011 June: 1324–1341. DOI: 10.1080/03610918.2011.575500
Ancha Xu and Yincai Tang, Statistical Analysis of Competing Failure Modes in Accelerated Life Testing Based on Assumed Copulas(基于Copulas加速寿命试验中竞争失效模型的统计分析), Chinese Journal of Applied Probability and Statistics, Vol 28, 2012(1), pp51-62.
Haifen Li, Jiajia Zhang, Yincai Tang, Induced smoothing for the semiparametric accelerated hazards model, Computational Statistics and Data Analysis. Vol56(12), Dec. 2012: 4312-4319. Doi:10.1016/j.csda.2012.04.001
Xiaodi Wang, Yincai Tang, Yingshan Zhang, Orthogonal Arrays for Estimating Global Sensitivity Indices of Non-parametric Models based on ANOVA High-dimensional Model Representation, Journal of Statistical Planning and Inference, Vol142(7), July 2012: 1801-1812. Doi: 10.1016/j.jspi.2012.02.043
Qiang Guan, Yincai Tang, Optimal Step-stress Test under Type-I Censoring For Multivariate Exponential Distribution, Journal of Statistical Planning and Inference, Vol142(7), July 2012: 1908-1923. Doi: 10.1016/j.jspi.2012.02.029
Jayu Fu, Ancha Xu and Yincai Tang, Objective Bayesian Analysis of Pareto Distribution under Progressive Type-II Censoring,Statistics and Probability Letters. Vol82(10), Oct. 2012: 1829-1836. DOI: 10.1016/j.spl.2012.06.007
Yincai Tang, Qiang Guan, Peirong Xu，Haiyan Xu, Optimum Design for Type-I Step-stress Accelerated LifeTests of Two-parameter Weibull Distributions, Communications in Statistics - Theory and Methods, Vol41(21), Sept. 2012.DOI: 10.1080/03610926.2012.707456
Ancha Xu，Yincai Tang, Objective Bayesian Analysis for Linear Degradation Models,Communications in Statistics – Theory and Methods, Vol41(21), Sept. 2012. doi:10.1080/03610926.2012.705942
Ancha Xu，Yincai Tang, An Overview on Statistical Analysis for Masked System Lifetime Data.Chinese Journal of Applied Probability and Statistics, Vol 28(4), 2012: pp380-6388.
Kamran Abbas, Tang Yincai, Kamran Abbas and Tang Yincai. Comparison of Estimation Methods for Frechet Distribution with Known Shape, Caspian Journal of Applied Sciences Research, Vol1(10). 2012: 58-64.
Abbas, K. and Tang, Y. (2013). Estimation of Parameters for Frechet Distribution Based on Type-II Censored Samples. Caspian Journal of Applied SciencesResearch, 2(7). 36-43.
Kamran Abbas, Jiayu Fu, Yincai Tang, Bayesian Estimation of Gumbel Type-II Distribution, Data Science Journal, Vol.12, August 2013, pp33-46.
Ancha Xu and Yincai Tang, Posterior propriety in nonparametric mixed effects model. Applied Mathematics B---A Journal of Chinese Universities(高校应用数学学报英文版), Series B, Vol.28(3), September 2013, pp369-378.
GUAN Qiang, TANG Yincai, Optimal Design of Accelerated Degradation Test based on Gamma Process Models, Chinese Journal of Applied Probability and Statistics,Vol.29(2), 2013, pp213-224.
Qiang Guang, Yincai Tang and Ancha Xu, Objective Bayesian Analysis For Bivariate Marshall-Olkin Exponential Distribution, Computational Statistics and Data Analysis, Vol. 64, August 2013, pp299–313.
Abbas, K. and Tang, Y. Objective Bayesian analysis of Frechet stress strength model. Statistics and Probability Letters, Vol. 84, January 2014, pp169-175.
Ancha Xu, Yincai Tang and Qiang Guan, Bayesian Analysis of Masked Data in Step-stress Accelerated Life Testing, Communications in Statistics - Theory and Methods, Vol.43(8), 2014, pp2016-2030.
Jiayu Fu, Yincai Tang and Qiang Guan, Objective Bayesian Analysis for Recurrent Events in Presence of Competing Risks, Quality Technology and Quantitative Management, Vol. 11(3), 2014, pp265-279.
Ancha Xu, Sanjib Basu, Yincai Tang, A full Bayesian approach for masked data in step-stress accelerated life testing. IEEE Transactions on Reliability, Vol.63(3), September 2014, pp798-806.
Haifen Li, Jiajia Zhang, Yincai Tang, Smooth Semi-nonparametric Analysis for Mixture Cure Models and Its Application to Breast Cancer, Australian & New Zealand Journal of Statistics，Vol.56(3), September 2014, pp217-235.
Xiaodi Wang, Yingshan Zhang, Yincai Tang, Feasible Criterion for Designs Based on Fixed Effect ANOVA Model, Statistics and Probability Letters, Volu. 87, April 2014, pp134–142.
Ancha Xu, Yincai Tang, A Bayesian method for planning accelerated life testing, IEEE Transactions on Reliability, Vol. 64(4), December 2015, pp1383-1392.
Ancha Xu, Yincai Tang, Reference optimality criterion for planning accelerated life testing, Journal of Statistical Planing and Inference, 2015, 167, pp14–26.
Ancha Xu, Yincai Tang and Dongchu Sun, Objective Bayesian analysis for masked data under symmetric assumption, Statistics and Its Interface, Vol. 8，2015， pp227-237.
Kamran Abbas，Yincai Tang, Analysis of Frechet distribution using reference priors, Communications in Statistics - Theory and Methods, Vol.44(14), 2015, pp2945-2956.
Pingping Wang and Yincai Tang and Hui Chen, Bayesian Analysis for Change-point Linear Regression Models. Chinese Journal of Applied Probability and Statistics, Vol.31(1), 2015, pp89-102.
Ancha Xu, Jiayu Fu, Yincai Tang and Qiang Guan, Bayesian analysis of constant-stress accelerated life test for the Weibull distribution using noninformative priors, Applied Mathematical Modelling, Vol. 39, 2015, pp6183-6195.
Kamran Abbas, Yincai Tang, Bayesian Estimation of Frechet Distribution under Asymmetric Loss Functions, The Aligarh Journal of Statistics, Vol. 35, 2015, pp91-106.
Qiang Guang, Yincai Tang, Bayesian Planning of Optimal Step-Stress Accelerated Life Test for Log-Location-Scale Distributions, Applicae Mathematics Modeling, Vol. 44(4), 2016, pp2743-2755.
Kamran Abbas, Yincai Tang, Objective Bayesian Analysis for Log-logistic Distribution, Communications in Statistics –Simulation and Computation. 2016, 45(8), pp2782-2791. DOI:10.1080/03610918.2014.925925
Ancha Xu, Yincai Tang, Qiang Guan and Xinze Lian, Planning simple step-stress accelerated life tests using reference optimality criterion, Journal of Risk and Reliability, 2016, Vol. 230(1), pp85-92. doi: 10.1177/1748006X15580469
Qiang Guan，Yincai Tang Ancha Xu, Objective Bayesian Analysis For Accelerated Degradation Tests Based on Wiener Process Models, Applied Mathematical Modelling, 2016, 40(4), pp2743-2755. DOI: 10.1016/j.apm.2015.09.076
Yongqiang Lian and Yincai Tang, Yijun Wang, Objective Bayesian analysis of JM model in software reliability. Computational Statistics and Data Analysis. 109, 2017, pp199-214.
Yincai Tang, Wenchen Liu & Ancha Xu，Statistical inference for zero-and-one-inflated poisson models，Statistical Theory and Related Fields, 2017: VOL.1(2), pp216-226.
Yincai Tang, Jiayu Fu, Wenchen Liu and Ancha Xu, Bayesian analysis of repairable systems with modulated power law process，Applied Mathematical Modelling，2017. Vol.44, pp357-373.
Pingping Wang, Yincai Tang and Ancha Xu，Bayesian Analysis of Compound Poisson Process with Change-point. Quality Technology & Quantitative Management，2017: 1-21. doi.org/10.1080/16843703.2017.1399511
Ancha Xu, Shirong Zhou, Bayesian analysis of series system with dependent causes of failure, Statistical Theory and Related Fields, 1(1). 2017. 128-140.
Pingping Wang, Yincai Tang, Suk Joo Bae and Yong He. Bayesian Analysis of Two-Phase Degradation Data Based on Change-Point Wiener Process, Reliability Engineering and System Safety，2018. Vol.170, pp244-256.
Wenchen Liu, Yincai Tang and Ancha Xu, A Zero-and-one inflated Poisson Model and its Application, Statistics and Its Interface. Volumn 11, Issue 2, pp 339-351. 2018.
Qiang Guan and Yincai Tang, Bayesian Planning of Optimal Step-Stress Accelerated Life Test for Log-Location-Scale Distributions, Acta Mathematicae Applicatae Sinica, 34 (1) ,pp51-64, 2018.
Pingping Wang and Yincai Tang, Suk Joo Bae and Ancha Xu, Bayesian Approach for Two-Phase Degradation Data Based on Change-Point Wiener Process with Measurement Errors. IEEE Transactions on Reliability, 67(2), 2018: pp688-700.
Ancha Xu, Lijuan Shen, Bingxing Wang, and Yincai Tang, On Modeling Bivariate Wiener Degradation Process, IEEE Transactions on Reliability, 67(3), 2018: pp897-906.
Lijuan Shen, Yudong Wang, Qingqing Zhai , and Yincai Tang, Degradation Modeling Using Stochastic Processes With Random Initial Degradation, IEEE Transactions on Reliability. 68(4): pp1320-1329，2019.12.
Shirong Zhou, Ancha Xu, Exponential Dispersion Process for Degradation Analysis, IEEE Transactions on Reliability. 68(2): pp398-409, 2019.
Yijun Wang, Jiajia Zhang and Yincai Tang, Bayesian Approach for Proportional Hazards Mixture Cure Model Allowing Non-curable Competing Risk, Journal of Statistical Computation and Simulation，90(4): pp638-656, 2020.
Xiang Xiao, Yincai Tang, Bayesian Inference for Zero-and-one-inflated Geometric Distribution Regression Model. Communications in Statistics: Theory and Methods. 49(15): pp3730-3743, 2020.
Yudong Wang, Yincai Tang, Statistical Analysis of Accelerated Temperature Cycling Test based on Coffin-Manson Model. Communications in Statistics: Theory and Methods, 49(15): pp3663-3680, 2020.
Wenchen Liu, Yincai Tang, Xianyi Wu, Seperating Variables to Accelerated Non-convex Regularized Optimization, Computational Statistics and Data Analysis. 147:106943, 2020.
Yijun Wang, Jiajia Zhang, Yincai Tang, Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk, Statistical Theory and Related Fields, 4(1):pp97-108, 2020.
Xuan Li, Yincai Tang, Ancha Xu，Objective Bayesian Analysis of Weibull Mixture Cure Model. Quality Engineering, 32(3): pp449-464, 2020.
Wenchen Liu, Yincai Tang, Ancha Xu, Zero-and-one-inflated Poisson Regression Model, Statistical Papers, 62:pp915-934, 2021.
Yijun Wang, Chao Cai, Wenbin Lu and Jiajia Zhang, Yincai Tang, Semiparametric Estimation for Proportional Hazards Mixture Cure Model Allowing Non-curable Competing Risk, Journal of Statistical Planning and Inference, 211:pp171-189. March 2021.
Ancha Xu, Shirong Zhou, Yincai Tang, A unified model for system reliability evaluation under dynamic operating conditions, IEEE Transactions on Reliability, 70(1): pp65-72. March 2021.
Shirong Zhou, Yincai Tang, Variational Bayesian Analysis for Wiener Degradation Model with Random Effects，Communications in Statistics - Theory and Methods, 50(16):3769-3789, 2021.
Pingping Wang, Ting Fung Ma*, Dipankar Bandyopadhyay, Yincai Tang, Jun Zhu. Composite likelihood inference for ordinal periodontal data with replicated spatial patterns, Statistics in Medicine, 11 August, 2021.
Shirong Zhou, Ancha Xu, Yincai Tang, A generalized Wiener process with dependent degradation rate and volatility and non-constant mean-to-variance ratio, Reliability Engineering and System Safety, 40:5871-5893, December 2021.
Wenchen Liu, Guanfu Liu, Yincai Tang, Robust Sparse Reduced-rank Regression with Response Dependency, Symmetry, 14:1617, 2022.
Yongqiang Lian, Yincai Tang, Shirong Zhou, Research on three step Accelerated gadient alsorithm in deep learning. Statistical Theory and Related Fields, 2022, 6(1), 40-57.
Guihong Liu, Quanqiang, Guan, Yincai Tang and Yunhuei Tzeng, Interval Modeling for Gamma Process Degradation Model, Symmetry, 2022, 14,954.
Jia Wei Xu, and Yincai Tang, Bayesian Framework for Multi-Wave COVID-19 Epidemic Analysis Using Empirical Vaccination Data, Symmetry, 2022, 10, 21.
Shirong Zhou, Ancha Xu, Yincai Tang, Fast and Accurate Bayesian Inference of Reparameterized Gamma Process with Random Effects, IEEE Transactions on Reliability，2023, 99:1-14.
Xiaofan Lin, Siliang Zhang, Yincai Tang, Xuan Li, A Gibbs‐INLA algorithm for multidimensional graded response model analysis, British Journal of Mathematical and Statistical Psychology, 2023, 12321.
Haiyan Zhu, Danni Lu, MD, D. Ware Branch, James Troendle, Yincai Tang, ..., Jun Zhang, Oxytocin is not associated with postpartum hemorrhage in labor augmentation in a retrospective cohort study in the United States, American Journal of Obstetrics & Gynecology, 2023
Shirong Zhou, Yincai Tang, Ancha Xu, Fast Approximate Bayesian Inference for Step-Stress Accelerated Degradation Tests Based on Wiener process
中文论文
费鹤良,汤银才等,固体钽电解电容器序进应力加速寿命试验及数据处理, 应用概率统计,13(3) (1997), 330—332.
汤银才, 第三届全国统计科学技术进步奖获奖文集,序进应力加速寿命试验的统计分析及其在电子元件上的应用, 1997年10月.
汤银才,费鹤良,基于Gibbs抽样的Weibull分布序进应力加速寿命试验的Bayes分析,数理统计与应用概率,13(1998), 81-88.
汤银才,费鹤良,Weibull分布场合序进应力加速寿命试验的统计分析及其软件包, 高校应用数学学报, 4(1998), 408-413.
汤银才,加速寿命试验Bayes估计算法的改进, 应用数学与计算数学学报,11(1997.12),37—45.
汤银才,三参数Weibull分布的渐近广义最小二乘估计, 应用概率统计,15(1999), 187-192.
汤银才,关于资本市场的新思考,《改革开放与市场经济文选》,刘茂才主编,中国书藉出版社,北京,1998,648-650 .
汤银才,TFR模型下Weibull分布步加试验极大似然估计的保序改进,数理统计与管理,20(2001),214-217.
汤银才,沪深股市股价收益的分布与时序分析,上海师范大学学报,32(2003).
汤银才,刘方方,TFR模型与逆幂律下Weibull分布序加试验的Bayes分析,上海师范大学学报(自然科学版),33(1) (2004), 26-31.
武东,汤银才,寿命分布的PP图,数理统计与管理,2004年.
武东,费鹤良,汤银才,PP图及其在可靠性中的应用,上海师范大学学报(自然科学版)33(2) (2004), 13-17.
周晓东,顾龙全,汤银才,多重缺失场合恒加试验近似Bayes分析,可靠性工程,4（1）（2005）,15-17.
金莹,汤银才,Weibull分布下异常数据的线性检验方法,数理统计与管理 ,24(2005),207-210.
陈惠 ,汤银才,已知变点数下二次回归模型方差变点分析,数理统计与管理 ,24(2005),147-150.
刘琴,汤银才,分层抽样中R的分别比估计量的可用性及其均方误差的估计量, 数理统计与管理, 24(2005),85-88.
金莹,牛美玲,汤银才,整群抽样总体均值的回归估计,统计与决策,2005(11): 4-5.
汤银才,刘方方,基于Laplace公式Weibull分布序加试验的Bayes分析,中国现场统计研究会2005年学术年会,数理统计与管理 ,24(2005) ,215-218.
顾龙全,周晓东,汤银才,指数分布场合恒加试验缺失数据的Bayes统计分析,高校应用数学学报,21(2)(2006),183-190.
汤银才,刘方方,CE模型下Weibull分布序加试验的Bayes分析,系统科学与数学,Vol.26, 2006(3)：342-351.
汤银才,多探头交联电缆绝缘层同轴度显示仪数据的统计分析与在线质量控制系统,应用概率统计,Vol.22, 2006(2)：214-219.
张青,武东,汤银才,多目标N人非合作对策安全点的刻画与比较,燕山大学学报,30(2), 2006,105-108.
武东,张青,汤银才,基于稳定分布的股票收益率的特征分析,统计与决策,2006(10)：92-93.
武东,汤银才,稳定分布及其在金融中的应用, 应用概率统计,Vol.23, 2007(4):434-445.
武东,张青,汤银才,指数分布步加试验的贝叶斯估计,电子产品可靠性与环境试验,Vol25(6), 2007, 48-50.
武东,汤银才,基于稳定分布的PARCH模型,数理统计与管理,Vol26, 2007 (4), 610-614.
周晓东,汤银才,费鹤良,定数转换步加试验缺失数据场合下的参数估计,中国现场统计研究会第十三届学术年会论文集,2007,67-70.
武东,汤银才,CE模型下指数分布步加试验的贝叶斯估计, 数理统计与管理,Vol27(3), 2008, 423-427.
武东,汤银才,基于稳定分布的EPGARCH模型,工程数学学报,Vol25(1), 2008,29-34.
周晓东, 汤银才, 费鹤良, 删失数据威布尔分布参数的贝叶斯统计分析, 上海师范大学学报(自然科学版),Vol37(1), 2008, 28-34.
汤银才,侯道燕, 三参数Weibull分布参数的Bayes估计, 系统科学与数学, Vol.29(1), 2009, 109-115.
刘媚,汤银才, 混合双参数广义Pareto 分布的参数估计,数学的实践与认识,Vol.39(20), 2009, 106-110.
将卉,汤银才, 混合Weibull分布参数估计的ECM算法,系统科学与数学,Vol. 20(4),2010,541-546.
周晓东,汤银才, 加速方程有偏场合下加速寿命试验的稳健设计,数理统计与管理,29(3), 2010: 441-449.
孙丽玢,汤银才, 在定时截尾样本下三参数威布尔分布的矩估计,数学的实践与认识,2010,40(22), 2010: 156-161.
张青, 武东, 汤银才, 逐步Ⅱ型截尾下指数分布恒加试验的贝叶斯分析，山东理工大学学报, Vol.24(6), 2010, pp11-14.
武东, 汤银才, 指数分布逐次定数截尾试验的多层贝叶斯估计, 上海理工大学学报, Vol.28, 2011, pp113-116.
李海芬, 汤银才, 对数稳定分布加速寿命试验的贝叶斯分析, 系统科学与数学,Vol. 31(4),2011,448-457.
武东, 毕然， 汤银才, 逐步增加II型截尾下指数分布恒加试验的统计分析, 数理统计与管理, Vol.31(6), 2012, pp1022-1027.
武东, 汤银才, Weibull分布步进应力加速寿命试验的Bayes估计, 应用数学学报, Vol.36(3), 2013, pp495-501.
黄月兰, 汤银才, 变点模型下Weibull分布恒加试验的Bayes分析, 系统科学与数学, Vol. 33(9), 2013, pp1105-1112.
孙丽玢, 汤银才, 定时截尾样本下三参数Weibull分布修正矩估计的强相合性, 应用概率统计,Vol. 29(1), 2013, pp31-41.
管强, 汤银才, 邱锦明, 广义指数分布下恒定应力加速寿命试验的贝叶斯分析, 数学的实践与认识, Vol.44(4), 2014， pp188-196.
王红军, 汤银才, 具有稳定噪声的ARMA模型的贝叶斯分析与应用, 应用数学学报, Vol.38(3), 2015, pp466-476.
王全国，管强，汤银才，贝叶斯更新技术在石化装置气体泄漏频率分析中的应用研究，中国科技论文在线(http://www.paper.edu.cn), 2014.8.
王全国, 汤银才, 管强, 石化装置氢气泄漏频率的贝叶斯分析, 数理统计与管理. 2016(4). pp594-602.
王红军，汤银才，具有稳定分布噪声的多重季节模型的贝叶斯分析，应用数学学报, 40(4), 2017, pp519-529.
曾林蕊, 汤银才, 窦雯，定数截尾数据缺失场合Frechet分布参数的近似极大似然估计，应用概率统计，33(3),2017, pp310-316.
管强, 汤银才, 基于线性退化轨道的区间型建模分析及应用, 应用概率统计，34(4), 2018, pp427-440.
管强, 汤银才, 基于维纳过程步进应力加速退化试验的客观贝叶斯分析，应用概率统计，34(6), 2018, pp613-629.
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