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检索条件"主题词=MCEM algorithm"
47 条 记 录,以下是11-20 订阅
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General Path Models for Degradation Data With Multiple Characteristics and Covariates
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TECHNOMETRICS 2021年 第3期63卷 354-369页
作者: Lu, Lu Wang, Bingxing Hong, Yili Ye, Zhisheng Univ S Florida Dept Math & Stat Tampa FL 33620 USA Zhejiang Gongshang Univ Sch Stat Hangzhou 310018 Peoples R China Virginia Tech Dept Stat Blacksburg VA USA Natl Univ Singapore Dept Ind Syst Engn & Management Singapore Singapore
Degradation data have been broadly used for assessing product and system reliability. Most existing work focuses on modeling and analysis of degradation data with a single characteristic. In some degradation tests, in... 详细信息
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Estimating prevalence of post-war health disorders using multiple systems data
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-11页
作者: Bhuyan, Prajamitra Chatterjee, Kiranmoy Indian Inst Management Calcutta Kolkata 700104 India Bidhannagar Coll Kolkata 700064 India
Effective surveillance on the long-term public health impact due to war and terrorist attacks remains limited. Such health issues are commonly under-reported, specifically for a large group of individuals. For this pu... 详细信息
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Copula-frailty models for recurrent event data based on Monte Carlo EM algorithm
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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2021年 第17期91卷 3530-3548页
作者: Bedair, Khaled F. Hong, Yili Al-Khalidi, Hussein R. Tanta Univ Fac Commerce Tanta Egypt Univ Dundee Sch Med Dundee Scotland Virginia Tech Dept Stat Blacksburg VA 24061 USA Duke Univ Dept Biostat & Bioinformat Durham NC USA
Multi-type recurrent events are often encountered in medical applications when two or more different event types could repeatedly occur over an observation period. For example, patients may experience recurrences of m... 详细信息
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Linear censored regression models with skew scale mixtures of normal distributions
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JOURNAL OF APPLIED STATISTICS 2021年 第16期48卷 3060-3085页
作者: Guzman, Daniel C. F. Ferreira, Clecio S. Zeller, Camila B. Univ Fed Juiz de Fora Dept Stat Juiz De Fora Brazil
A special source of difficulty in the statistical analysis is the possibility that some subjects may not have a complete observation of the response variable. Such incomplete observation of the response variable is ca... 详细信息
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Joint mean-covariance random effect model for longitudinal data
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BIOMETRICAL JOURNAL 2020年 第1期62卷 7-23页
作者: Bai, Yongxin Qian, Manling Tian, Maozai Renmin Univ China Ctr Appl Stat Sch Stat Beijing 100872 Peoples R China Xinjiang Univ Finance & Econ Sch Stat & Informat Urumqi Peoples R China Lanzhou Univ Finance & Econ Sch Stat Lanzhou Gansu Peoples R China
In this paper, we consider the inherent association between mean and covariance in the joint mean-covariance modeling and propose a joint mean-covariance random effect model based on the modified Cholesky decompositio... 详细信息
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A parameter estimation method for multivariate binned Hawkes processes
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STATISTICS AND COMPUTING 2022年 第6期32卷 98-98页
作者: Shlomovich, Leigh Cohen, Edward A. K. Adams, Niall Imperial Coll London Dept Math South Kensington Campus London SW7 2AZ England
It is often assumed that events cannot occur simultaneously when modelling data with point processes. This raises a problem as real-world data often contains synchronous observations due to aggregation or rounding, re... 详细信息
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Regression analysis of interval-censored failure time data with time-dependent covariates
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2020年 第0期144卷 106848-000页
作者: Yi, Fengting Tang, Niansheng Sun, Jianguo Yunnan Univ Yunnan Key Lab Stat Modeling & Data Kunming 650091 Yunnan Peoples R China Univ Missouri Dept Stat Columbia MO 65211 USA
Interval-censored failure time data often occur in many areas and their analysis has recently attracted a great deal of attention. On the other hand, most of the existing literature for them can only deal with time-in... 详细信息
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A Wiener-based degradation model with logistic distributed measurement errors and remaining useful life estimation
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2018年 第6期34卷 1289-1303页
作者: Shen, Yan Shen, Lijuan Xu, Wangtu Xiamen Univ Sch Econ Dept Stat 422 South Siming Rd Xiamen 361005 Peoples R China Natl Univ Singapore Dept Ind Syst Engn & Management Singapore Singapore Xiamen Univ Sch Architecture & Civil Engn Dept Urban Planning Xiamen Peoples R China
Degradation data analysis, which investigates degradation processes of products to extrapolate the lifetime properties, is an effective method for reliability analysis. But degradation data that reflect a product'... 详细信息
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Spatial models for non-Gaussian data with covariate measurement error
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ENVIRONMETRICS 2019年 第3期30卷 e2545-e2545页
作者: Tadayon, Vahid Torabi, Mahmoud Shahid Chamran Univ Ahvaz Dept Stat Ahvaz Iran Higher Educ Ctr Eghlid Dept Stat Eghlid Iran Univ Manitoba Dept Community Hlth Sci Winnipeg MB R3E 0W3 Canada Univ Manitoba Dept Stat Winnipeg MB Canada
Spatial models have been widely used in the public health setup. In the case of continuous outcomes, the traditional approaches to model spatial data are based on the Gaussian distribution. This assumption might be ov... 详细信息
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Analysis of bivariate zero inflated count data with missing responses
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JOURNAL OF MULTIVARIATE ANALYSIS 2016年 148卷 73-82页
作者: Yang, Miao Das, Kalyan Majumdar, Anandamayee Oregon State Univ Dept Stat Corvallis OR 97330 USA Univ Calcutta Dept Stat 35 Ballygunge Circular Rd Kolkata 700019 India Soochow Univ Ctr Adv Stat & Econometr Suzhou Peoples R China
Bivariate zero-inflated Poisson regression models have recently been used in various medical and biological settings to model excess zeros. However, there has not been any definite approach to deal with the same in th... 详细信息
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