Inference on a progressive type I interval-censored truncated normal distribution [0.03%]
渐近失效时间在截断正态分布下的推断问题
Chandrakant Lodhi,Yogesh Mani Tripathi
Chandrakant Lodhi
In this paper, we consider the problem of making statistical inference for a truncated normal distribution under progressive type I interval censoring. We obtain maximum likelihood estimators of unknown parameters using the expectation-maxi...
Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data [0.03%]
基于物理的时空模型构建：从稀疏遥感卫星数据中生成地表晴空温度估算
Gavin Q Collins,Matthew J Heaton,Leiqiu Hu
Gavin Q Collins
Satellite remote-sensing is used to collect important atmospheric and geophysical data at various spatial resolutions, providing insight into spatiotemporal surface and climate variability globally. These observations are often plagued with...
An MCMC computational approach for a continuous time state-dependent regime switching diffusion process [0.03%]
一种关于连续时间状态转换扩散过程的MCMC算法研究
El Houcine Hibbah,Hamid El Maroufy,Christiane Fuchs et al.
El Houcine Hibbah et al.
State-dependent regime switching diffusion processes or hybrid switching diffusion (HSD) processes are hard to simulate with classical methods which leads us to adopt a Markov chain Monte Carlo (MCMC) Bayesian approach very convenient to es...
Giovanni Maria Merola
Giovanni Maria Merola
We propose an algorithmic framework for computing sparse components from rotated principal components. This methodology, called SIMPCA, is useful to replace the unreliable practice of ignoring small coefficients of rotated components when i...
A comparative analysis of clustering algorithms to identify the homogeneous rainfall gauge stations of Bangladesh [0.03%]
用于识别孟加拉国同质降雨量观测站的聚类算法比较分析
Mohammad Samsul Alam,Sangita Paul
Mohammad Samsul Alam
Dealing with individual rainfall station is time consuming as well as prone to more variation. It seems reasonable and advantageous to deal with a group of homogeneous stations rather than an individual station. Such groups can be identifie...
Improving the bridge structure by using linear failure rate distribution [0.03%]
采用线性失效率分布改善桥梁结构可靠性评估模型
Abdelfattah Mustafa
Abdelfattah Mustafa
In this paper, a system of five components is studied; one of these components is a bridge network component. Each of these components has a non-constant failure rate. The system components have linear failure rate lifetime distribution. Th...
Comparison of disease prevalence in two populations under double-sampling scheme with two fallible classifiers [0.03%]
双重抽样方案下两种不可靠诊断方法在两总体中疾病患病率的比较研究
Shi-Fang Qiu,Jie He,Ji-Ran Tao et al.
Shi-Fang Qiu et al.
A disease prevalence can be estimated by classifying subjects according to whether they have the disease. When gold-standard tests are too expensive to be applied to all subjects, partially validated data can be obtained by double-sampling ...
Designing a control chart of extended EWMA statistic based on multiple dependent state sampling [0.03%]
基于多重相关状态抽样的扩展EWMA统计控制图的设计
Muhammad Naveed,Muhammad Azam,Nasrullah Khan et al.
Muhammad Naveed et al.
In this paper, we presented a memory type control chart (CC) based on multiple dependent state (MDS) sampling to pinpoint the slight variation in the process mean for the quality trait of normal distribution (ND). Two pairs of control limit...
Reliability analysis for gap null gate based on model comparison criterion [0.03%]
基于模型比较准则的通孔无栅可靠性分析
Mei Li,Houbao Xu
Mei Li
The length of the gap is the key factor affecting its reliability. Based on the mechanism of the gap null gate, this paper regards the two endpoint thresholds of the gap length as bivariate random variables and establishes successful respon...
Stochastic EM algorithm for generalized exponential cure rate model and an empirical study [0.03%]
广义指数治愈率模型的随机EM算法及实证研究
Katherine Davies,Suvra Pal,Joynob A Siddiqua
Katherine Davies
In this paper, we consider two well-known parametric long-term survival models, namely, the Bernoulli cure rate model and the promotion time (or Poisson) cure rate model. Assuming the long-term survival probability to depend on a set of ris...