发表论文

一、学术论文(英文)

21. Fu Liya, Yang Zhuoran, Zhang Jun, Long Anle, Zhou Yan (2019) Generalized estimating equations for analyzing multivariate survival data. Comunications in Statistics--Simulation and Computation (on line) https//doi.org/10.1080/03610918.2019.1619763.

20. Fu Liya, Yang Zhuoran, Zhao Mingtao, Zhou Yan (2019) Efficient parameter estimation for multivariate accelerated failure time model via the quadratic inference functions method. Random Matrices: Theory and Applications (accepted).

19. Jiang Yunlu, Wang You-Gan, Fu Liya, Wang Xueqin (2019) Robust estimation using modified Huber’s function with new tails. Technometrics.

61:1, 111-122, DOI: 10.1080/00401706.2018.1470037.

18. Xu Jianwen, Zhang Jiamao, Fu Liya* (2019) Variable selection in generalized estimating equations via empirical likelihood and Gaussian pseudo-likelihood. Communications in Statistics-Simulation and Computation. 48(4)1239-1250.https://doi.org/10.1080/03610918.2017.1408825. SCI

17. Li Benchong & Fu Liya (2018) Exact test of goodness of fit for binomial distribution, Statistical Papers. , Volume 59, Issue 3, pp 851–860. DOI 10.1007/s00362-016-0793-4.  SCI

16. Fu Liya, Hao Yangyang and Wang You-Gan (2018) Working correlation structure selection in generalized estimating equations. Computational Statistics. 33 (2): 983-996 SCI.

15. Fu Liya &Wang You-Gan (2018) Variable selection in rank regression for analyzing longitudinal data. Statistical Methods in Medical Research.Volume: 27(8): 2447-2458, http://journals.sagepub.com/doi/pdf/10.1177/0962280216681347 2014 IF=4.634.

14. Wang You-Gan and Fu Liya* (2017) Selection of working correlation structures in generalized estimating equations. Statistics in Medicine. 36(14):2206-2219. DOI: 10.1002/sim.7262 SCI. IF=1.533.

13. Zhou Yan, Fu Liya* & Zhang Baoxue (2017) Two nonparametric methods for change-point detection in distribution. Communications in Statistics-Theory and Methods. DOI: 10.1080/03610926.2015.104889146 (6):2801-2815 SCI. 2014 IF=0.274

12. Zhou Yan, Fu Liya, Zhang Jun, Hui Yongchang (2016) A reliability test of a complex system based on empirical likelihood. Plos one. 11(10), e016355.  DOI:10.1371/journal.pone.0163557. DZ9NW

11. Wang You-Gan, Zhao Yudong & Fu Liya (2016 June) Accelerated failure times model and the Buckley-James estimator. Australian & New Zealand Journal of Statistics. 58(2), 211-225. SCI. 2014 IF=0.415.

10. Fu Liya* & Wang You-Gan (2016) Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data. Journal of Multivariate Analysis 143, 92-502. (*Corresponding Author) SCI. 2014 IF=0.934

9. Fu Liya, Wang You-Gan & Zhu Min (2015) A Gaussian pseudolikelihood approach for quantile regression with repeated measurements. Computational Statistics and Data Analysis 84, 41-53. SCI. 2014 IF=1.400, IDS : AZ5LT.

8. Fu Liya & Wang You-Gan (2012) Efficient estimation for rank-based regression with clustered data. Biometrics 68, 1074-1082.SCI. 2014 IF=1.568

7. Fu Liya, Wang You-Gan & Liu Chunji (2012) Rank regression for analyzing ordinal qualitative data for treatment comparison. Phytopathology 102, 1064-1070. SCI. 2014 IF=3.119

6. Fu Liya* & Wang You-Gan (2012) Quantile regression for longitudinal data with a working correlation model. Computational Statistics and Data Analysis 56, 2526-2538.

5. Fu Liya & Wang You-Gan (2012) Statistical tools for analyzing water quality data. Water Quality Monitoring and Assessment (Book) Chapter 6, 144-168. (20157月已被下载7000)

4. Wang You-Gan & Fu Liya (2011) Rank regression for accelerated failure time model with censored data. Computational Statistics and Data Analysis 55, 2334-2343. SCI.

3. Wang You-Gan & Fu Liya * (2011) Rank regression analysis of water quality data with temporal correlations. Environmental and Ecological Statistics 18, 781-793. SCI.2014 IF=0.925

2. Fu Liya & Wang You-Gan (2011) Nonparametric rank regression for analyzing water quality concentration data with detection limits. Environmental Science and Technology 45,1481-1489. SCI. 2014 IF=5.330

1.Fu Liya, Wang You-Gan & Bai Zhidong (2010) Rank regression for analysis of clustered data: a natural induced smoothing approach. Computational Statistics and Data Analysis 54,1036-1050.

 二、中文论文(教材)

 

1.王友乾,付利亚,徐建文,2015,《纵向数据分析》,高等教育出版社。

 

 

 

 

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