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ORCIDComputational Statistics & Data Analysis, Volume 117
Volume 117, January 2018
- Yu Shen, Han-Ying Liang:
Quantile regression for partially linear varying-coefficient model with censoring indicators missing at random. 1-18 - Junyong Park:
Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation. 19-31 - Wei Cai, Guoyu Guan, Rui Pan, Xuening Zhu
, Hansheng Wang:
Network linear discriminant analysis. 32-44 - Mahdi Roozbeh:
Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion. 45-61 - Debashis Samanta, Debasis Kundu:
Order restricted inference of a multiple step-stress model. 62-75 - Hua Ma, Andriy I. Bandos, David Gur:
Informativeness of diagnostic marker values and the impact of data grouping. 76-89
- Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Feng Bao:
Improved distributed particle filters for tracking in a wireless sensor network. 90-108
- Nicole Barthel, Candida Geerdens, Matthias Killiches, Paul Janssen, Claudia Czado:
Vine copula based likelihood estimation of dependence patterns in multivariate event time data. 109-127 - Guangyu Mao:
Testing independence in high dimensions using Kendall's tau. 128-137
- Yuliya Marchetti, Hai Nguyen, Amy Braverman, Noel Cressie:
Spatial data compression via adaptive dispersion clustering. 138-153
- Radu V. Craiu, Thierry Duchesne:
A scalable and efficient covariate selection criterion for mixed effects regression models with unknown random effects structure. 154-161
- Peng Sun, Inyoung Kim, Ki-Ahm Lee:
Dual-semiparametric regression using weighted Dirichlet process mixture. 162-181
- Tim Holland-Letz, Annette Kopp-Schneider:
Optimal experimental designs for estimating the drug combination index in toxicology. 182-193
- Lifeng Deng, Jieli Ding, Yanyan Liu, Chengdong Wei:
Regression analysis for the proportional hazards model with parameter constraints under case-cohort design. 194-206
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