A goodness-of-fit test for Archimedean copula models in the presence of right censoring. - Takeshi Emura; Chien-Wei Lin; Weijing Wang (Comput. Stat. Data Anal., 2010)

Testing quasi-independence for truncation data. - Takeshi Emura; Weijing Wang (J. Multivar. Anal., 2010)

Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring. - Takeshi Emura; Hsiuying Wang (Technometrics, 2010)

A goodness-of-fit test for parametric models based on dependently truncated data. - Takeshi Emura; Yoshihiko Konno (Comput. Stat. Data Anal., 2012)

Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. - Takeshi Emura; Weijing Wang (J. Multivar. Anal., 2012)

An improved nonparametric estimator of sub-distribution function for bivariate competing risk models. - Takeshi Emura; Fan-Hsuan Kao; Hirofumi Michimae (J. Multivar. Anal., 2014)

Maximum likelihood estimation for a special exponential family under random double-truncation. - Ya-Hsuan Hu; Takeshi Emura (Comput. Stat., 2015)

A Comparison of Normal Approximation Rules for Attribute Control Charts. - Takeshi Emura; Yi-Shuan Lin (Qual. Reliab. Eng. Int., 2015)

Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis. - Takeshi Emura; Shau-Kai Shiu (Commun. Stat. Simul. Comput., 2016)

Reliability Inference for a Copula-Based Series System Life Test Under Multiple Type-I Censoring. - Tsung-Ming Hsu; Takeshi Emura; Tsai-Hung Fan (IEEE Trans. Reliab., 2016)

R routines for performing estimation and statistical process control under copula-based time series models. - Takeshi Emura; Ting-Hsuan Long; Li-Hsien Sun (Commun. Stat. Simul. Comput., 2017)

A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing. - Szu-Peng Yang; Takeshi Emura (Commun. Stat. Simul. Comput., 2017)

Critical review and comparison of continuity correction methods: The normal approximation to the binomial distribution. - Takeshi Emura; Yu-Ting Liao (Commun. Stat. Simul. Comput., 2018)

Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula. - Jia-Han Shih; Takeshi Emura (Comput. Stat., 2018)

Reconsidering the estimation of costs of phenotypic plasticity using the robust ridge estimator. - Hirofumi Michimae; Akiomi Yoshida; Takeshi Emura; Masatoshi Matsunami; Kinya Nishimura (Ecol. Informatics, 2018)

compound.Cox: Univariate feature selection and compound covariate for predicting survival. - Takeshi Emura; Shigeyuki Matsui; Hsuan-Yu Chen (Comput. Methods Programs Biomed., 2019)

Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring. - Takeshi Emura; Jiun-Huang Hsu (Comput. Stat. Data Anal., 2020)

A Bayesian inference for time series via copula-based Markov chain models. - Li-Hsien Sun; Chang-Shang Lee; Takeshi Emura (Commun. Stat. Simul. Comput., 2020)

Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model. - Bo-Hong Wu; Hirofumi Michimae; Takeshi Emura (Comput. Stat., 2020)

Likelihood-based inference for a frailty-copula model based on competing risks failure time data. - Yin-Chen Wang; Takeshi Emura; Tsai-Hung Fan; Simon M. S. Lo; Ralf Andreas Wilke (Qual. Reliab. Eng. Int., 2020)

A Meta-Analysis for Simultaneously Estimating Individual Means with Shrinkage, Isotonic Regression and Pretests. - Nanami Taketomi; Yoshihiko Konno; Yuan-Tsung Chang; Takeshi Emura (Axioms, 2021)

Model diagnostic procedures for copula-based Markov chain models for statistical process control. - Xin-Wei Huang; Takeshi Emura (Commun. Stat. Simul. Comput., 2021)

Estimation under copula-based Markov normal mixture models for serially correlated data. - Wei-Cheng Lin; Takeshi Emura; Li-Hsien Sun (Commun. Stat. Simul. Comput., 2021)

Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model. - Achim Dörre; Chung-Yan Huang; Yi-Kuan Tseng; Takeshi Emura (Comput. Stat., 2021)

On the copula correlation ratio and its generalization. - Jia-Han Shih; Takeshi Emura (J. Multivar. Anal., 2021)

meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means. - Nanami Taketomi; Hirofumi Michimae; Yuan-Tsung Chang; Takeshi Emura (Algorithms, 2022)

Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. - Hirofumi Michimae; Takeshi Emura (Comput. Stat., 2022)

Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications. - Takeshi Emura; Hirofumi Michimae; Shigeyuki Matsui (Entropy, 2022)

Left-truncated and right-censored field failure data: Review of parametric analysis for reliability. - Takeshi Emura; Hirofumi Michimae (Qual. Reliab. Eng. Int., 2022)

Copula-Based Estimation Methods for a Common Mean Vector for Bivariate Meta-Analyses. - Jia-Han Shih; Yoshihiko Konno; Yuan-Tsung Chang; Takeshi Emura (Symmetry, 2022)

Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data. - Sayaka Shinohara; Yuan-Hsin Lin; Hirofumi Michimae; Takeshi Emura (Commun. Stat. Simul. Comput., 2023)

Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks. - Habbiburr Rehman; Navin Chandra; Takeshi Emura; Manju Pandey (Symmetry, 2023)

Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses. - Nanami Taketomi; Takeshi Emura (Axioms, 2023)

A semiparametric model for the cause-specific hazard under risk proportionality. - Simon M. S. Lo; Ralf Andreas Wilke; Takeshi Emura (Comput. Stat. Data Anal., 2024)

g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models. - Takeshi Emura; Koutarou Matsumoto; Ryuji Uozumi; Hirofumi Michimae (Symmetry, 2024)

Computational methods for a copula-based Markov chain model with a binomial time series. - Xin-Wei Huang; Takeshi Emura (Commun. Stat. Simul. Comput., 2024)

The Pareto type I joint frailty-copula model for clustered bivariate survival data. - Yuan-Hsin Lin; Li-Hsien Sun; Yi-Ju Tseng; Takeshi Emura (Commun. Stat. Simul. Comput., 2024)

Bayesian ridge estimators based on copula-based joint prior distributions for logistic regression parameters. - Yuto Aizawa; Takeshi Emura; Hirofumi Michimae (Commun. Stat. Simul. Comput., 2025)

Change point estimation for Gaussian time series data with copula-based Markov chain models. - Li-Hsien Sun; Yu-Kai Wang; Lien-Hsi Liu; Takeshi Emura; Chi-Yang Chiu (Comput. Stat., 2025)