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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
淡江大學 2024-06-12 Bias-Correction Methods for the Unit Exponential Distribution and Applications Fan, Ya-yen;Tsai, Tzong-ru
淡江大學 2024-03-17 The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution Tsai, Tzong-ru
淡江大學 2023-12-22 Binary classification with imbalanced data Chiang, Jyun-You;Lio, Yuhlong;Hsu, Chien-Ya;Ho, Chia-Ling;Tsai, Tzong-Ru
淡江大學 2023-12-03 Inference for a general family of exponentiated distributions under ranked set sampling with partially observed complementary competing risks data Wang, Liang;Lio, Yuhlong;Tripathi, Yogesh Mani;Tsai, Tzong-Ru
淡江大學 2023-11-14 Reliability Assessment and Remaining Useful Life Prediction Based on the Inverse Gaussian Step-Stress Accelerated Degradation Data Tsai, Tzong-ru
淡江大學 2023-07-20T04:05:34Z Estimation of dependent competing risks model with baseline proportional hazards models under minimum ranked set sampling Tsai, Tzong-ru
淡江大學 2023-03-04 Stress–strength inference on the multicomponent model based on generalized exponential distributions under type-I hybrid censoring Tsai, Tzong-Ru;Lio, YL;Chiang, J-Y;Chang, Y-W
淡江大學 2022-11-05 Bias-corrected maximum likelihood estimation and Bayesian inference for the process performance index using inverse Gaussian distri-bution Tsai, Tzong-Ru;Xin, Hua;Fan, Ya-Yen;Lio, Yuhlong
淡江大學 2022-08-19 Bayesian Inference and Computation in Reliability and Survival Analysis Lio, Yuhlong;Chen, Ding-Geng;Ng, Hon Keung Tony;Tsai, Tzong-Ru
淡江大學 2022-08-04 Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
淡江大學 2022-08-04 Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
淡江大學 2022-03-17 Bias Correction Method for Log-Power-Normal Distribution Tsai, Tzong-Ru;Lio, Yuhlong;Fan, Ya-Yen;Cheng, Che-Pin
淡江大學 2021-12-23 Inference for the process performance index of products on the basis of power-normal distribution Zhu, J;Xin, H;Zheng, C;Tsai, Tzong-Ru
淡江大學 2021-10-16 Nonparametric control chart using auxiliary information for smallest extreme value distribution Tsai, Tzong-Ru;Hung, C-M;Lio, Y. L.;Chiang, J-Y;Ng, H. K. T.
淡江大學 2021-10-07 Hierarchical Bayesian modeling and randomized response method for inferring the sensitive-nature proportion Xin, H;Zhu, J;Tsai, Tzong-Ru
淡江大學 2021-08-31 A new multivariate control chart for monitoring the quality of a process with the aid of auxiliary information Chiang, J-Y;Tsai, Tzong-Ru;Pham, H;Yu, K
淡江大學 2021-08-05 Hierarchical Bayesian modeling estimation method for inferring the population proportion of having a sensitive nature Xin, H;Zhu, J;Tsai, Tzong-Ru;Huang, C-Y;Jiang, M
淡江大學 2021-04-08 Parameter estimation for the composite dynamic systems based on sequential order statistics from Burr type XII mixture distribution Tsai, Tzong-Ru;Lio, Yuhlong;Xin, Hua;Pham, Hoang
淡江大學 2021-02-26 Two-stage maximum likelihood estimation procedure for parallel constant-stress accelerated degradation tests. Wu, Cheng-Hsun;Tsai, Tzong-Ru;Lee, Ming-Yung
淡江大學 2021-01-11 Bayesian estimation based on sequential order statistics for heterogeneous baseline Gompertz distributions Tsai, Tzong-Ru;Xin, H;Kao, C-H
淡江大學 2021-01-11 Bayesian Estimation Based on Sequential Order Statistics for Heterogeneous Baseline Gompertz Distributions Tsai, Tzong-Ru;Xin, Hua;Kao, Chiun-How
淡江大學 2020-09-15 Nonlinear profile monitoring using spline functions Xi, H;Hsieh, W-J;Lio, YL;Tsai, Tzong-Ru
淡江大學 2020-07-17 Reliability inference for the multicomponent system based on progressively type II censoring samples from generalized Pareto distributions Sauer, L.;Lio, YL;Tsai, Tzong-Ru
淡江大學 2020-07-17 Reliability inference for the multicomponent system based on progressively type II censored samples from generalized Pareto distributions Sauer, Lauren;Lio, Yuhlong;Tsai, Tzong-Ru
淡江大學 2020-06-13 Model selection methods for reliability assessment based on interval-censored field failure samples Tsai, Tzong-Ru;Wu, Sih-Hua;Shen, Yan

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