投稿信息
投稿信息
审稿周期
投稿命中率
审稿费用
暂无数据
版面费用
暂无数据
中国人发表比例
2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%)
自引率
5.2 %
年文章数
796
作者需知
暂无数据
NCBI查询
偏重的研究方向
暂无数据
期刊简介
稿件收录要求
稿件收录要求
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.
