INFORMATIVE

作品数：105被引量：53H指数：3
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相关领域：自动化与计算机技术更多>>
相关作者：张玉峰张扬张相林刘晓周颖更多>>
相关机构：华东政法大学北京大学第一医院大连外国语大学北京大学更多>>
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相关基金：国家自然科学基金国家重点基础研究发展计划北京市自然科学基金国家教育部博士点基金更多>>
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Regression Analysis of Misclassified Current Status Data with Informative Observation Times
《Journal of Systems Science & Complexity》2023年第3期1250-1264,共15页WANG Wenshan XU Da ZHAO Shishun SUN Jianguo 
supported by the National Natural Science Foundation of China under Grant Nos. 12001093,12071176;the National Key Research and Development Program of China under Grant No. 2020YFA0714102;the Science and Technology Developing Plan of Jilin Province under Grant No. 20200201258JC
Misclassified current status data arises if each study subject can only be observed once and the observation status is determined by a diagnostic test with imperfect sensitivity and specificity.For the situation,anoth...
关键词：Current status data EM algorithm informative censoring MISCLASSIFICATION proportional hazard model 
Regression Analysis of Interval-Censored Data with Informative Observation Times Under the Accelerated Failure Time Model被引量：1
《Journal of Systems Science & Complexity》2022年第4期1520-1534,共15页ZHAO Shishun DONG Lijian SUN Jianguo 
supported by the National Natural Science Foundation of China under Grant No.11671168;the Science and Technology Developing Plan of Jilin Province under Grant No.20200201258JC。
This paper discusses regression analysis of interval-censored failure time data arising from the accelerated failure time model in the presence of informative censoring.For the problem,a sieve maximum likelihood estim...
关键词：Accelerated failure time model copula models informative censoring interval-censored data splines 
IS TECHNICAL ANALYSIS INFORMATIVE IN UK STOCK MARKET? EVIDENCE FROM DECOMPOSITION-BASED VECTOR AUTOREGRESSIVE(DVAR) MODEL被引量：2
《Journal of Systems Science & Complexity》2014年第1期144-156,共13页XIE Haibin BIAN Jiangze WANG Mingxi QIAO Han 
supported by Social Science Foundation of Ministry of Education of China under Grant No.12YJC790001;National Social Science Foundation of China under Grant No.12CJY117;the National Natural Science Foundation of China under Grant Nos.71003057 and 71373262;the Program for Innovative Research Team and“211”Program in UIBE
The paper proposes a new approach -- The decomposition-based vector autoregressive （DVAR） model to scrutinize the predictability of the UK stock market. Empirical studies performed on the monthly British FTSE100 ind...
关键词：DVAR stock market predictability technical analysis UK stock market. 
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