Takeshi Emura

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Statistical Process Control

Simultaneously Estimating

Top Venues

Commun. Stat. Simul. Comput.

Qual. Reliab. Eng. Int.

Publications

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) (2024)
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 (2024)
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) (2024)
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) (2024)
Habbiburr Rehman, Navin Chandra, Takeshi Emura, Manju Pandey
Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks. Symmetry 15 (2) (2023)
Nanami Taketomi, Takeshi Emura
Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses. Axioms 12 (5) (2023)
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) (2023)
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) (2022)
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) (2022)
Takeshi Emura, Hirofumi Michimae
Left-truncated and right-censored field failure data: Review of parametric analysis for reliability. Qual. Reliab. Eng. Int. 38 (7) (2022)
Hirofumi Michimae, Takeshi Emura
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. Comput. Stat. 37 (5) (2022)
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) (2022)
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) (2021)
Xin-Wei Huang, Takeshi Emura
Model diagnostic procedures for copula-based Markov chain models for statistical process control. Commun. Stat. Simul. Comput. 50 (8) (2021)
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) (2021)
Jia-Han Shih, Takeshi Emura
On the copula correlation ratio and its generalization. J. Multivar. Anal. 182 (2021)
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) (2021)
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) (2020)
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) (2020)
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) (2020)
Takeshi Emura, Jiun-Huang Hsu
Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring. Comput. Stat. Data Anal. 150 (2020)
Takeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen
compound.Cox: Univariate feature selection and compound covariate for predicting survival. Comput. Methods Programs Biomed. 168 (2019)
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) (2018)
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 (2018)
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) (2018)
Szu-Peng Yang, Takeshi Emura
A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing. Commun. Stat. Simul. Comput. 46 (8) (2017)
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) (2017)
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) (2016)
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) (2016)
Ya-Hsuan Hu, Takeshi Emura
Maximum likelihood estimation for a special exponential family under random double-truncation. Comput. Stat. 30 (4) (2015)
Takeshi Emura, Yi-Shuan Lin
A Comparison of Normal Approximation Rules for Attribute Control Charts. Qual. Reliab. Eng. Int. 31 (3) (2015)
Takeshi Emura, Fan-Hsuan Kao, Hirofumi Michimae
An improved nonparametric estimator of sub-distribution function for bivariate competing risk models. J. Multivar. Anal. 132 (2014)
Takeshi Emura, Yoshihiko Konno
A goodness-of-fit test for parametric models based on dependently truncated data. Comput. Stat. Data Anal. 56 (7) (2012)
Takeshi Emura, Weijing Wang
Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. J. Multivar. Anal. 110 (2012)
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) (2010)
Takeshi Emura, Weijing Wang
Testing quasi-independence for truncation data. J. Multivar. Anal. 101 (1) (2010)
Takeshi Emura, Hsiuying Wang
Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring. Technometrics 52 (3) (2010)