| Transmuted linear exponential distribution: A new generalization of the linear exponential distribution Y Tian, M Tian, Q Zhu Communications in Statistics-Simulation and Computation 43 (10), 2661-2677, 2014 | 86 | 2014 |
| Bayesian quantile regression for longitudinal data models Y Luo, H Lian, M Tian Journal of Statistical Computation and Simulation 82 (11), 1635-1649, 2012 | 81 | 2012 |
| Variable selection in high-dimensional partially linear additive models for composite quantile regression J Guo, M Tang, M Tian, K Zhu Computational Statistics & Data Analysis 65, 56-67, 2013 | 70 | 2013 |
| Linear quantile regression based on EM algorithm Y Tian, M Tian, Q Zhu Communications in Statistics-Theory and Methods 43 (16), 3464-3484, 2014 | 50 | 2014 |
| A quantile regression analysis of family background factor effects on mathematical achievement M Tian Journal of data science 4 (4), 461-478, 2006 | 48 | 2006 |
| New efficient and robust estimation in varying-coefficient models with heteroscedasticity J Guo, M Tian, K Zhu Statistica Sinica, 1075-1101, 2012 | 35 | 2012 |
| Hierarchical linear regression models for conditional quantiles M Tian, G Chen Science in China Series A: Mathematics 49, 1800-1815, 2006 | 32 | 2006 |
| Estimation of linear composite quantile regression using EM algorithm Y Tian, Q Zhu, M Tian Statistics & Probability Letters 117, 183-191, 2016 | 30 | 2016 |
| Confidence intervals for the risk ratio under inverse sampling M Tian, ML Tang, HKT Ng, PS Chan Statistics in Medicine 27 (17), 3301-3324, 2008 | 26 | 2008 |
| Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates Y Tian, E Li, M Tian Computational Statistics 31, 1031-1057, 2016 | 25 | 2016 |
| Estimation for mixed exponential distributions under type-II progressively hybrid censored samples Y Tian, Q Zhu, M Tian Computational Statistics & Data Analysis 89, 85-96, 2015 | 23 | 2015 |
| Effects and Interaction of Meteorological Factors on Pulmonary Tuberculosis in Urumqi, China, 2013–2019 LP Nie, Y. W., Lu, Y. Q., Wang, C. C., Yang, Z., Sun, Y. H., Zhang, Y. X ... Frontiers in Public Health 10, 1-10, 2022 | 22* | 2022 |
| Analysis of the spread of COVID-19 in the USA with a spatio-temporal multivariate time series model R Rui, M Tian, ML Tang, GTS Ho, CH Wu International Journal of Environmental Research and Public Health 18 (2), 774, 2021 | 17 | 2021 |
| Quantile regression for general spatial panel data models with fixed effects X Dai, Z Yan, M Tian, ML Tang Journal of Applied Statistics 47 (1), 45-60, 2020 | 15 | 2020 |
| Bayesian composite quantile regression for linear mixed-effects models Y Tian, H Lian, M Tian Communications in Statistics-Theory and Methods 46 (15), 7717-7731, 2017 | 15 | 2017 |
| Inference for mixed generalized exponential distribution under progressively type-II censored samples Y Tian, Q Zhu, M Tian Journal of Applied Statistics 41 (3), 660-676, 2014 | 15 | 2014 |
| A new generalized linear exponential distribution and its applications Y Tian, M Tian, Q Zhu Acta Mathematicae Applicatae Sinica, English Series 30 (4), 1049-1062, 2014 | 14 | 2014 |
| Asymptotic confidence interval construction for risk difference under inverse sampling ML Tang, M Tian Computational statistics & data analysis 53 (3), 621-631, 2009 | 14 | 2009 |
| Bayesian local influence for spatial autoregressive models with heteroscedasticity X Dai, L Jin, M Tian, L Shi Statistical Papers 60, 1423-1446, 2019 | 13 | 2019 |
| Estimating a finite mixed exponential distribution under progressively type-II censored data Y Tian, M Tian, Q Zhu Communications in Statistics-Theory and Methods 43 (17), 3762-3776, 2014 | 13 | 2014 |
Keming Yu (Professor)Brunel University LondonVerified email at brunel.ac.uk
