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ORCIDTakeshi Emura
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2020 – today
- 2024
[j37]Simon M. S. Lo, Ralf Andreas Wilke, Takeshi Emura:
A semiparametric model for the cause-specific hazard under risk proportionality. Comput. Stat. Data Anal. 195: 107953 (2024)- [j36]Xin-Wei Huang
, Takeshi Emura:
Computational methods for a copula-based Markov chain model with a binomial time series. Commun. Stat. Simul. Comput. 53(4): 1973-1990 (2024) - [j35]Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng, Takeshi Emura:
The Pareto type I joint frailty-copula model for clustered bivariate survival data. Commun. Stat. Simul. Comput. 53(4): 2006-2030 (2024) - [j34]Takeshi Emura, Koutarou Matsumoto, Ryuji Uozumi, Hirofumi Michimae:
g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models. Symmetry 16(2): 223 (2024) - 2023
- [j33]Nanami Taketomi, Takeshi Emura:
Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses. Axioms 12(5): 503 (2023) - [j32]Sayaka Shinohara, Yuan-Hsin Lin, Hirofumi Michimae, Takeshi Emura:
Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data. Commun. Stat. Simul. Comput. 52(2): 349-368 (2023) - [j31]Habbiburr Rehman, Navin Chandra, Takeshi Emura, Manju Pandey:
Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks. Symmetry 15(2): 485 (2023) - 2022
- [j30]Nanami Taketomi, Hirofumi Michimae, Yuan-Tsung Chang, Takeshi Emura:
meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means. Algorithms 15(1): 26 (2022) - [j29]Hirofumi Michimae, Takeshi Emura:
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. Comput. Stat. 37(5): 2741-2769 (2022) - [j28]Takeshi Emura, Hirofumi Michimae, Shigeyuki Matsui:
Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications. Entropy 24(5): 589 (2022) - [j27]Takeshi Emura, Hirofumi Michimae:
Left-truncated and right-censored field failure data: Review of parametric analysis for reliability. Qual. Reliab. Eng. Int. 38(7): 3919-3934 (2022) - [j26]Jia-Han Shih, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura:
Copula-Based Estimation Methods for a Common Mean Vector for Bivariate Meta-Analyses. Symmetry 14(2): 186 (2022) - 2021
- [j25]Nanami Taketomi, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura:
A Meta-Analysis for Simultaneously Estimating Individual Means with Shrinkage, Isotonic Regression and Pretests. Axioms 10(4): 267 (2021) - [j24]Xin-Wei Huang, Takeshi Emura:
Model diagnostic procedures for copula-based Markov chain models for statistical process control. Commun. Stat. Simul. Comput. 50(8): 2345-2367 (2021) - [j23]Wei-Cheng Lin, Takeshi Emura, Li-Hsien Sun:
Estimation under copula-based Markov normal mixture models for serially correlated data. Commun. Stat. Simul. Comput. 50(12): 4483-4515 (2021) - [j22]Achim Dörre, Chung-Yan Huang, Yi-Kuan Tseng, Takeshi Emura:
Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model. Comput. Stat. 36(1): 375-408 (2021) - [j21]Jia-Han Shih, Takeshi Emura:
On the copula correlation ratio and its generalization. J. Multivar. Anal. 182: 104708 (2021) - 2020
- [j20]Takeshi Emura, Jiun-Huang Hsu:
Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring. Comput. Stat. Data Anal. 150: 106990 (2020) - [j19]Li-Hsien Sun, Chang-Shang Lee, Takeshi Emura:
A Bayesian inference for time series via copula-based Markov chain models. Commun. Stat. Simul. Comput. 49(11): 2897-2913 (2020) - [j18]Bo-Hong Wu, Hirofumi Michimae, Takeshi Emura:
Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model. Comput. Stat. 35(4): 1525-1552 (2020) - [j17]Yin-Chen Wang, Takeshi Emura, Tsai-Hung Fan, Simon M. S. Lo, Ralf Andreas Wilke:
Likelihood-based inference for a frailty-copula model based on competing risks failure time data. Qual. Reliab. Eng. Int. 36(5): 1622-1638 (2020)
2010 – 2019
- 2019
- [j16]Takeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen:
compound.Cox: Univariate feature selection and compound covariate for predicting survival. Comput. Methods Programs Biomed. 168: 21-37 (2019) - 2018
- [j15]Takeshi Emura, Yu-Ting Liao:
Critical review and comparison of continuity correction methods: The normal approximation to the binomial distribution. Commun. Stat. Simul. Comput. 47(8): 2266-2285 (2018) - [j14]Jia-Han Shih, Takeshi Emura:
Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula. Comput. Stat. 33(3): 1293-1323 (2018) - [j13]Hirofumi Michimae, Akiomi Yoshida, Takeshi Emura, Masatoshi Matsunami, Kinya Nishimura:
Reconsidering the estimation of costs of phenotypic plasticity using the robust ridge estimator. Ecol. Informatics 44: 7-20 (2018) - 2017
- [j12]Takeshi Emura, Ting-Hsuan Long, Li-Hsien Sun:
R routines for performing estimation and statistical process control under copula-based time series models. Commun. Stat. Simul. Comput. 46(4): 3067-3087 (2017) - [j11]Szu-Peng Yang, Takeshi Emura:
A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing. Commun. Stat. Simul. Comput. 46(8): 6083-6105 (2017) - 2016
- [j10]Takeshi Emura, Shau-Kai Shiu:
Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis. Commun. Stat. Simul. Comput. 45(9): 3171-3189 (2016) - [j9]Tsung-Ming Hsu, Takeshi Emura, Tsai-Hung Fan:
Reliability Inference for a Copula-Based Series System Life Test Under Multiple Type-I Censoring. IEEE Trans. Reliab. 65(2): 1069-1080 (2016) - 2015
- [j8]Ya-Hsuan Hu, Takeshi Emura:
Maximum likelihood estimation for a special exponential family under random double-truncation. Comput. Stat. 30(4): 1199-1229 (2015) - [j7]Takeshi Emura, Yi-Shuan Lin:
A Comparison of Normal Approximation Rules for Attribute Control Charts. Qual. Reliab. Eng. Int. 31(3): 411-418 (2015) - 2014
- [j6]Takeshi Emura, Fan-Hsuan Kao, Hirofumi Michimae:
An improved nonparametric estimator of sub-distribution function for bivariate competing risk models. J. Multivar. Anal. 132: 229-241 (2014) - 2012
- [j5]Takeshi Emura, Yoshihiko Konno:
A goodness-of-fit test for parametric models based on dependently truncated data. Comput. Stat. Data Anal. 56(7): 2237-2250 (2012) - [j4]Takeshi Emura, Weijing Wang:
Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. J. Multivar. Anal. 110: 171-188 (2012) - 2010
- [j3]Takeshi Emura, Chien-Wei Lin, Weijing Wang:
A goodness-of-fit test for Archimedean copula models in the presence of right censoring. Comput. Stat. Data Anal. 54(12): 3033-3043 (2010) - [j2]Takeshi Emura, Weijing Wang:
Testing quasi-independence for truncation data. J. Multivar. Anal. 101(1): 223-239 (2010) - [j1]Takeshi Emura, Hsiuying Wang:
Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring. Technometrics 52(3): 313-323 (2010)
Coauthor Index
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