Takeshi Emura - RankMe

41 papers Journal 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An algorithm for estimating threshold boundary regression models. Comput. Stat. Data Anal. Chih-Hao Chang, Takeshi Emura, Shih-Feng Huang
2025	J	`jnl`	Bayesian ridge estimators based on copula-based joint prior distributions for logistic regression parameters. Commun. Stat. Simul. Comput. Yuto Aizawa, Takeshi Emura, Hirofumi Michimae
2025	J	`jnl`	Change point estimation for Gaussian time series data with copula-based Markov chain models. Comput. Stat. Li-Hsien Sun, Yu-Kai Wang, Lien-Hsi Liu, Takeshi Emura, Chi-Yang Chiu
2025	J	`jnl`	Copula-based regression estimation in the presence of outliers. Commun. Stat. Simul. Comput. Alam Ali, Ashok Kumar Pathak, Mohd Arshad, Takeshi Emura
2024	J	`jnl`	A semiparametric model for the cause-specific hazard under risk proportionality. Comput. Stat. Data Anal. Simon M. S. Lo, Ralf Andreas Wilke, Takeshi Emura
2024	J	`jnl`	Computational methods for a copula-based Markov chain model with a binomial time series. Commun. Stat. Simul. Comput. Xin-Wei Huang, Takeshi Emura
2024	J	`jnl`	The Pareto type I joint frailty-copula model for clustered bivariate survival data. Commun. Stat. Simul. Comput. Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng, Takeshi Emura
2024	J	`jnl`	g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models. Symmetry Takeshi Emura, Koutarou Matsumoto, Ryuji Uozumi, Hirofumi Michimae
2023	J	`jnl`	Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses. Axioms Nanami Taketomi, Takeshi Emura
2023	J	`jnl`	Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data. Commun. Stat. Simul. Comput. Sayaka Shinohara, Yuan-Hsin Lin, Hirofumi Michimae, Takeshi Emura
2023	J	`jnl`	Estimation of the Modified Weibull Additive Hazards Regression Model under Competing Risks. Symmetry Habbiburr Rehman, Navin Chandra, Takeshi Emura, Manju Pandey
2022	J	`jnl`	Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. Comput. Stat. Hirofumi Michimae, Takeshi Emura
2022	J	`jnl`	Copula-Based Estimation Methods for a Common Mean Vector for Bivariate Meta-Analyses. Symmetry Jia-Han Shih, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura
2022	J	`jnl`	Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications. Entropy Takeshi Emura, Hirofumi Michimae, Shigeyuki Matsui
2022	J	`jnl`	Left-truncated and right-censored field failure data: Review of parametric analysis for reliability. Qual. Reliab. Eng. Int. Takeshi Emura, Hirofumi Michimae
2022	J	`jnl`	meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means. Algorithms Nanami Taketomi, Hirofumi Michimae, Yuan-Tsung Chang, Takeshi Emura
2021	J	`jnl`	A Meta-Analysis for Simultaneously Estimating Individual Means with Shrinkage, Isotonic Regression and Pretests. Axioms Nanami Taketomi, Yoshihiko Konno, Yuan-Tsung Chang, Takeshi Emura
2021	J	`jnl`	Estimation under copula-based Markov normal mixture models for serially correlated data. Commun. Stat. Simul. Comput. Wei-Cheng Lin, Takeshi Emura, Li-Hsien Sun
2021	J	`jnl`	Likelihood-based analysis of doubly-truncated data under the location-scale and AFT model. Comput. Stat. Achim Dörre, Chung-Yan Huang, Yi-Kuan Tseng, Takeshi Emura
2021	J	`jnl`	Model diagnostic procedures for copula-based Markov chain models for statistical process control. Commun. Stat. Simul. Comput. Xin-Wei Huang, Takeshi Emura
2021	J	`jnl`	On the copula correlation ratio and its generalization. J. Multivar. Anal. Jia-Han Shih, Takeshi Emura
2020	J	`jnl`	A Bayesian inference for time series via copula-based Markov chain models. Commun. Stat. Simul. Comput. Li-Hsien Sun, Chang-Shang Lee, Takeshi Emura
2020	J	`jnl`	Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring. Comput. Stat. Data Anal. Takeshi Emura, Jiun-Huang Hsu
2020	J	`jnl`	Likelihood-based inference for a frailty-copula model based on competing risks failure time data. Qual. Reliab. Eng. Int. Yin-Chen Wang, Takeshi Emura, Tsai-Hung Fan, Simon M. S. Lo, Ralf Andreas Wilke
2020	J	`jnl`	Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model. Comput. Stat. Bo-Hong Wu, Hirofumi Michimae, Takeshi Emura
2019	J	`jnl`	compound.Cox: Univariate feature selection and compound covariate for predicting survival. Comput. Methods Programs Biomed. Takeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen
2018	J	`jnl`	Critical review and comparison of continuity correction methods: The normal approximation to the binomial distribution. Commun. Stat. Simul. Comput. Takeshi Emura, Yu-Ting Liao
2018	J	`jnl`	Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula. Comput. Stat. Jia-Han Shih, Takeshi Emura
2018	J	`jnl`	Reconsidering the estimation of costs of phenotypic plasticity using the robust ridge estimator. Ecol. Informatics Hirofumi Michimae, Akiomi Yoshida, Takeshi Emura, Masatoshi Matsunami, Kinya Nishimura
2017	J	`jnl`	A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing. Commun. Stat. Simul. Comput. Szu-Peng Yang, Takeshi Emura
2017	J	`jnl`	R routines for performing estimation and statistical process control under copula-based time series models. Commun. Stat. Simul. Comput. Takeshi Emura, Ting-Hsuan Long, Li-Hsien Sun
2016	J	`jnl`	Estimation and Model Selection for Left-truncated and Right-censored Lifetime Data with Application to Electric Power Transformers Analysis. Commun. Stat. Simul. Comput. Takeshi Emura, Shau-Kai Shiu
2016	J	`jnl`	Reliability Inference for a Copula-Based Series System Life Test Under Multiple Type-I Censoring. IEEE Trans. Reliab. Tsung-Ming Hsu, Takeshi Emura, Tsai-Hung Fan
2015	J	`jnl`	A Comparison of Normal Approximation Rules for Attribute Control Charts. Qual. Reliab. Eng. Int. Takeshi Emura, Yi-Shuan Lin
2015	J	`jnl`	Maximum likelihood estimation for a special exponential family under random double-truncation. Comput. Stat. Ya-Hsuan Hu, Takeshi Emura
2014	J	`jnl`	An improved nonparametric estimator of sub-distribution function for bivariate competing risk models. J. Multivar. Anal. Takeshi Emura, Fan-Hsuan Kao, Hirofumi Michimae
2012	J	`jnl`	A goodness-of-fit test for parametric models based on dependently truncated data. Comput. Stat. Data Anal. Takeshi Emura, Yoshihiko Konno
2012	J	`jnl`	Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. J. Multivar. Anal. Takeshi Emura, WeiJing Wang
2010	J	`jnl`	A goodness-of-fit test for Archimedean copula models in the presence of right censoring. Comput. Stat. Data Anal. Takeshi Emura, Chien-Wei Lin, WeiJing Wang
2010	J	`jnl`	Approximate Tolerance Limits Under Log-Location-Scale Regression Models in the Presence of Censoring. Technometrics Takeshi Emura, Hsiuying Wang
2010	J	`jnl`	Testing quasi-independence for truncation data. J. Multivar. Anal. Takeshi Emura, WeiJing Wang