On Modeling of Lifetime Data Using Akash, Shanker, Lindley and Exponential Distributions
On Modeling of Lifetime Data Using Akash, Shanker, Lindley and Exponential Distributions
复制标题
使用 Akash、Shanker、Lindley 和指数分布对寿命数据进行建模
DOI：
10.15406/bbij.2016.03.00084
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Hagos Fesshaye
中科院分区：
文献类型：
--
作者：
R. Shanker;Hagos Fesshaye
在可靠性分析中，感兴趣事件发生的时间称为寿命或生存时间或故障时间。该事件可能是设备故障、人员死亡、疾病症状的发展（或缓解）、违反健康规范（或合规性）。生命周期数据的建模和统计分析对于几乎所有应用科学（包括工程、医学/生物科学、保险和金融等）的统计学家、研究人员和政策制定者都至关重要。
In reliability analysis the time to the occurrence of event of interest is known as lifetime or survival time or failure time. The event may be failure of a piece of equipment, death of a person, development (or remission) of symptoms of disease, health code violation (or compliance). The modeling and statistical analysis of lifetime data are crucial for statisticians, research workers and policy makers in almost all applied sciences including engineering, medical science/biological science, insurance and finance, amongst others.