The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [0.03%]
用于预测肝移植后出院状态的多项逻辑回归模型：估计与诊断分析
E M Hashimoto,E M M Ortega,G M Cordeiro et al.
E M Hashimoto et al.
The multinomial logistic regression model (MLRM) can be interpreted as a natural extension of the binomial model with logit link function to situations where the response variable can have three or more possible outcomes. In addition, when ...
Measuring sport performances under pressure by classification trees with application to basketball shooting [0.03%]
基于分类树的压力下体育运动表现测评及在篮球投篮中的应用
Rodolfo Metulini,Mael Le Carre
Rodolfo Metulini
Measuring players' performance in team sports is fundamental since managers need to evaluate players with respect to the ability to score during crucial moments of the game. Using Classification and Regression Trees (CART) and play-by-play ...
A new heavy-tailed distribution defined on the bounded interval: the logit slash distribution and its application [0.03%]
定义在有界区间上的新重尾分布：对数奇斜分布及其应用
Mustafa Ç Korkmaz
Mustafa Ç Korkmaz
This paper proposes a new heavy-tailed and alternative slash type distribution on a bounded interval via a relation of a slash random variable with respect to the standard logistic function to model the real data set with skewed and high ku...
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...