Navdeep Singh,Parminder Singh
Navdeep Singh
For a sequence of k independent normally distributed random samples from k populations with different means and variances, it is common to know which successive populations differ significantly with respect to a parameter. In this article, ...
The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach [0.03%]
马尔可夫链在多元系数_of_变异控制图中的应用
XinYing Chew,Khai Wah Khaw,Wai Chung Yeong
XinYing Chew
Control charts are one of the important tools to monitor quality. The coefficient of variation (CV) is a common measure of dispersion in many real-life applications. Recently, CV control charts are proposed to monitor processes which do not...
A mixture model to assess perception of discrimination on grounds of sexual orientation for policy considerations [0.03%]
一种用于评估基于性取向的歧视感知的混合模型以供政策参考
Stefania Capecchi,Maurizio Curtarelli
Stefania Capecchi
The paper explores the relationships between subjective and contextual covariates as determinants of discrimination perception in a large sample survey. A modelling approach is implemented to detect the perception of discrimination on the g...
A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data [0.03%]
一种基于成本敏感逻辑回归的信用数据处理方法研究
Lili Zhang,Herman Ray,Jennifer Priestley et al.
Lili Zhang et al.
Training classification models on imbalanced data tends to result in bias towards the majority class. In this paper, we demonstrate how variable discretization and cost-sensitive logistic regression help mitigate this bias on an imbalanced ...
On some aspects of a zero-inflated overdispersed model and its applications [0.03%]
关于过度离散数据零膨胀模型的若干问题及其应用研究
C Satheesh Kumar,Rakhi Ramachandran
C Satheesh Kumar
Count data with excess zeros are so common in several areas of scientific research. In particular, the zero-inflated version of count data models has been used for modelling data sets with excessive number of zeros. In this regard, zero-inf...
Analysis of batched service time data using Gaussian and semi-parametric kernel models [0.03%]
基于高斯模型和半参核模型的服务批量时间数据分析
Xueying Wang,Chunxiao Zhou,Kepher Makambi et al.
Xueying Wang et al.
Batched data is a type of data where each observed data value is the sum of a number of grouped (batched) latent ones obtained under different conditions. Batched data arises in various practical backgrounds and is often found in social stu...
Validation of Burr XII inverse Rayleigh model via a modified chi-squared goodness-of-fit test [0.03%]
通过改进的卡方 goodness-of-fit-test 验证 Burr XII 倒雷登模型
Hafida Goual,Haitham M Yousof
Hafida Goual
In this work, we propose a new three parameter distribution called the Burr XII inverse Rayleigh model, this model is a generalization of the inverse Rayleigh distribution using the Burr XII family introduced by Cordeiro et al. [The burr XI...
Bayesian analysis of immigration in Europe with generalized logistic regression [0.03%]
基于广义逻辑回归的欧洲移民贝叶斯分析
Luciana Dalla Valle,Fabrizio Leisen,Luca Rossini et al.
Luciana Dalla Valle et al.
The number of immigrants moving to and settling in Europe has increased over the past decade, making migration one of the most topical and pressing issues in European politics. It is without a doubt that immigration has multiple impacts, in...
P Mantalos,A Karagrigoriou,L Střelec et al.
P Mantalos et al.
We study ARCH/GARCH effects under possible deviation from normality. Since skewness is the principal cause for deviations from normality in many practical applications, e.g. finance, we study in particular skewness. We propose robust tests ...
TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse framework [0.03%]
基于低阶和稀疏框架的时空基因共表达网络分析方法(TGCnA)
Jinyu Li,Yutong Lai,Chi Zhang et al.
Jinyu Li et al.
Various gene network models with distinct physical nature have been widely used in biological studies. For temporal transcriptomic studies, the current dynamic models either ignore the temporal variation in the network structure or fail to ...