Quasi-binomial zero-inflated regression model suitable for variables with bounded support [0.03%]
适用于定义域为有界离散集的准双项零膨胀回归模型
E Gómez-Déniz,D I Gallardo,H W Gómez
E Gómez-Déniz
In recent years, a variety of regression models, including zero-inflated and hurdle versions, have been proposed to explain the case of a dependent variable with respect to exogenous covariates. Apart from the classical Poisson, negative bi...
Zainab Abbasi Ganji,Bahram Sadeghpour Gildeh
Zainab Abbasi Ganji
Process capability indices are numerical tools that quantify how well a process can meet customer requirements, specifications or engineering tolerances. Fuzzy logic is incorporated to deal imprecise, incomplete data along with uncertainty....
Elif Akça,Ceylan Yozgatlıgil
Elif Akça
Time series model selection has been widely studied in recent years. It is of importance to select the best model among candidate models proposed for a series in terms of explaining the procedure that governs the series and providing the mo...
Random effect exponentiated-exponential geometric model for clustered/longitudinal zero-inflated count data [0.03%]
随机效应指数指数几何模型在聚集/纵向零膨胀计数数据中的应用
Leili Tapak,Omid Hamidi,Payam Amini et al.
Leili Tapak et al.
For count responses, there are situations in biomedical and sociological applications in which extra zeroes occur. Modeling correlated (e.g. repeated measures and clustered) zero-inflated count data includes special challenges because the c...
Muhammad Qasim,B M G Kibria,Kristofer Månsson et al.
Muhammad Qasim et al.
This paper considers the estimation of parameters for the Poisson regression model in the presence of high, but imperfect multicollinearity. To mitigate this problem, we suggest using the Poisson Liu Regression Estimator (PLRE) and propose ...
Nonparametric tests for stratified additive hazards model based on current status data [0.03%]
基于当前状态数据的分层加性风险模型的非参数检验方法研究
Xiaodong Fan,Shi-Shun Zhao,Qingchun Zhang et al.
Xiaodong Fan et al.
Stratified regression models are commonly employed when study subjects may come from possibly different strata such as different medical centers, and for the situation, one common question of interest is to test the existence of the stratum...
Survival analysis for the inverse Gaussian distribution with the Gibbs sampler [0.03%]
基于Gibbs抽样的逆高斯分布的生存分析
Kalanka P Jayalath,Raj S Chhikara
Kalanka P Jayalath
This paper describes a comprehensive survival analysis for the inverse Gaussian distribution employing Bayesian and Fiducial approaches. It focuses on making inferences on the inverse Gaussian (IG) parameters μ and λ and the average remai...
Goodness-of-fit test for exponentiality based on spacings for general progressive Type-II censored data [0.03%]
基于间距的指数分布 goodness-of-fit 测试在一般的逐步 II 型截尾数据下的应用
Xinyan Qin,Jiao Yu,Wenhao Gui
Xinyan Qin
There have been numerous tests proposed to determine whether or not the exponential model is suitable for a given data set. In this article, we propose a new test statistic based on spacings to test whether the general progressive Type-II c...
Junhyung Park,Adam W Chaffee,Ryan J Harrigan et al.
Junhyung Park et al.
Recently developed methods for the non-parametric estimation of Hawkes point process models facilitate their application for describing and forecasting the spread of epidemic diseases. We use data from the 2014 Ebola outbreak in West Africa...
Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model [0.03%]
应用Bayesian多元受体模型解析细颗粒物的区域来源-以首尔市为例
Man-Suk Oh,Chee Kyung Park
Man-Suk Oh
Seoul, the capital city of Korea with over 10 million residents, has been experiencing serious air pollution problems. Previous studies on source apportionment of PM2.5 in Seoul are based on measurements of chemical compositions of PM2.5 fr...