Bayesian analysis on single server Markovian queueing model with impatient customers [0.03%]
具有失真的单服务马尔可夫排队模型的贝叶斯分析
Gulab Singh Bura,Himanshi Sharma
Gulab Singh Bura
This paper focuses on Bayesian inference of an M/M/1 queuing model with balking, a phenomenon in which customers choose not to join a queue due to long waiting line. In this paper, the balking probability is considered as a function of numb...
A novel two-sample joint unified hybrid censoring scheme with the application of insulating fluid data [0.03%]
一种新的两样本联合统一杂交删失方案及其在绝缘油数据上的应用
Subhankar Dutta,Deepak Prajapati,Debasis Kundu
Subhankar Dutta
In life testing tests, various censoring schemes are employed, primarily Type-I and Type-II censoring schemes and their modified forms. In life testing experiments, most tests are based on a single sample. When conducting comparative life t...
Bayesian semi-parametric approaches to normal/independent and elliptical distributions [0.03%]
贝叶斯半参数方法在常态/独立分布和椭圆分布中的应用
M Remedios Sillero-Denamiel,J Miguel Marín,Pepa Ramírez-Cobo et al.
M Remedios Sillero-Denamiel et al.
This article introduces a novel, Bayesian, semi-parametric approach to inference for both elliptical and normal/independent distributions. The location and scale parameters are modelled parametrically and a suitable transformation of the mo...
On the robustness of truncated negative binomial regression model: application to field epidemiology [0.03%]
截断负二项回归模型的稳健性及其在现场流行病学中的应用
Jiwoong Yu,Chanhee Kim,Jaeseong Oh et al.
Jiwoong Yu et al.
Truncated count data are often obtained from field investigations conducted for individuals with some health-related symptoms to discover the possible causes of food-borne outbreaks quickly and accurately. This study shows two robust proper...
Change-point analysis using two-sample empirical likelihood method with applications to climatology [0.03%]
应用气候学的两样本经验似然方法变点分析
Svetlana Aniskevich,Reinis Alksnis,Janis Valeinis et al.
Svetlana Aniskevich et al.
The change-point detection in time series analysis is the problem of discovering time points at which the properties of data change. In this paper, we deal with detecting shifts in mean values for weakly dependent data. This covers a broad ...
Automated identification of autocorrelated control chart patterns utilizing developed convolutional neural networks [0.03%]
利用改进的卷积神经网络自动识别自相关控制图图案
Soheila Nazari,Fatemeh Sogandi
Soheila Nazari
Control Chart Pattern Recognition (CCPR) plays a crucial role in maintaining product quality. This paper presents some recognition models that utilizes a custom convolutional network alongside pretrained VGG19, MobileNet, and LeNet networks...
Empirical determination of baseball eras: multivariate change point analysis in major league baseball [0.03%]
实证确定棒球时代：美国职业棒球大联盟中的多元变化点分析
Mena C R Whalen,Gregory J Matthews,Brian M Mills
Mena C R Whalen
We use multivariate change point analysis methods to identify not only mean shifts but also changes in variance across a wide array of statistical time series. Our primary objective is to empirically discern distinct eras in the evolution o...
Deep learning for the joint analysis of item-level longitudinal and survival data [0.03%]
深度学习在项目纵向数据和生存数据联合分析中的应用
Jeffrey Lin,Sheng Luo
Jeffrey Lin
Patients with neurodegenerative diseases are often assessed using rating scales containing a number of items, where each item is scored based on an ordinal scale of 0 to K (0 indicating normal function and K indicating severe impairment). T...
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National COVID Collaborative Cohort data [0.03%]
控制从多个数据源中选择群体级同时信号的FDR以应用到国家COVID协作队列数据中
Runqiu Wang,Ran Dai,Hongying Dai et al.
Runqiu Wang et al.
One challenge in exploratory association studies using observational data is that the associations between the predictors and the outcome are potentially weak and rare, and the candidate predictors have complex correlation structures. False...
Online monitoring and early detection of influenza outbreaks using exponentially weighted spatial lasso: a case study in China during 2014-2020 [0.03%]
基于指数加权空间套索的在线流感疫情监测与早期预警：中国地区2014—2020年案例研究
Shoumi Sarkar,Yuhang Zhou,Yang Yang et al.
Shoumi Sarkar et al.
Influenza poses a persistent public health threat in China, with substantial impacts on health and the economy, especially during seasonal epidemics and emerging outbreaks. Seasonality, local clustering, and serial correlation inherent in i...