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Lifetime Data Analysis
基本信息
期刊名称 | Lifetime Data Analysis LIFETIME DATA ANAL |
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期刊ISSN | 1380-7870 |
期刊官方网站 | https://www.springer.com/10985 |
是否OA | No |
出版商 | Springer Netherlands |
出版周期 | Quarterly |
文章处理费 | 登录后查看 |
始发年份 | 1995 |
年文章数 | 30 |
影响因子 | 1.2(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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数学3区 | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用4区 | 否 | 否 |
STATISTICS & PROBABILITY 统计学与概率论4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 2.3 | 1.079 | 1.419 |
Mathematics Applied Mathematics |
301/635 | 52% |
补充信息
自引率 | 8.3% |
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H-index | 41 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1380-7870%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/lida |
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收稿范围 | The objective of Lifetime Data Analysis is to advance and promote statistical science in the various applied fields that deal with lifetime data, including: Actuarial Science Economics Engineering Sciences Environmental Sciences Management Science Medicine Operations Research Public Health Social and Behavioral Sciences. The following listing of some current topics of interest to the journal is not intended to be exclusive but to indicate the editorial policy of attracting papers generated by a broad range of interests: accelerated failure time models Bayesian lifetime models censoring and truncation classes of lifetime distributions competing risk models counting processes for lifetime data degradation processes goodness-of-fit maintenance policies and replacement models measurement errors meta-analysis of lifetime data models for multiple events models for noncompliance multivariate failure models multi-state models nonparametric estimation of survival functions parametric estimation and predictive inference parametric regression models proportional hazard models and extensions quality-of-life models rank tests for comparing lifetime distributions reliability methods residual analysis and model diagnostics surrogate marker processes and joint modeling of these processes with lifetime data. Officially cited as: Lifetime Data Anal |
收录体裁 | |
投稿指南 | https://link.springer.com/journal/10985/submission-guidelines |
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