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	Composite Estimating Equation Method for the Accelerated Failure Time Model with Length-biased Sampling Data 期刊论文 OAI收割 SCANDINAVIAN JOURNAL OF STATISTICS, 2016, 卷号: 43, 期号: 2, 页码: 396-415 作者: Qiu, Zhiping; Qin, Jing; Zhou, Yong \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2018/07/30 accelerated failure time model composite estimating equation kernel smoothing length-biased sampling data rank estimator
	A semiparametric additive rates model for clustered recurrent event data 期刊论文 OAI收割 ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2013, 卷号: 29, 期号: 1, 页码: 55-62 作者: He Sui; Wang Fen; Sun Liuquan \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/01/14 FAILURE TIME DATA REGRESSION-MODELS RISK MODEL additive rates clustered failure time data estimating equation marginal model recurrent events
	The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：57/0 \| 提交时间：2013/03/25 Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	The design of real-time monitoring the electromechanical actuator operation state based on the CANoe (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China 作者: Zhang J.; Wu D.; Zhang J.; Zhang J. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 In order to realize the real-time state data monitor of the electromechanical actuator(EMA) the EMA and other subsystem establish a ground half physical experiment simulation platform based on the CAN bus. The CANoe software decodes the received EMA CAN data and showes the result in the image window. The decoding data contains the EMA current motor operation state EMA angle and etc. Through these real-time display data the EMA operation state could be monitored and the EMA failure could be located fastly. 2011 IEEE.
	A class of mean residual life regression models with censored survival data 期刊论文 OAI收割 JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2010, 卷号: 140, 期号: 11, 页码: 3425-3441 作者: Sun, Liuquan; Zhao, Qiang \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2018/07/30 Censored data Estimating equation Failure time Goodness-of-fit test Mean residual life
	A goodness-of-fit test for the marginal cox model for correlated interval-censored failure time data 期刊论文 OAI收割 BIOMETRICAL JOURNAL, 2006, 卷号: 48, 期号: 6, 页码: 1020-1028 作者: Wang, Lianming; Sun, Liuquan; Sun, Jianguo \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2018/07/30 correlated failure time data goodness-of-fit test marginal approach regression analysis
	Regression analysis of interval-censored failure time data with linear transformation models 期刊论文 OAI收割 CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2005, 卷号: 33, 期号: 1, 页码: 61-70 作者: Zhang, ZG; Sun, LQ; Zhao, XQ; Sun, JG \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2018/07/30 covariate effects interval-censored failure time data linear transformation models semiparametric regression