Claude Lefèvre,Matthieu Simon
Claude Lefèvre
The paper deals with the problem of possible ruin when providing insurance coverage for an epidemic. The model studied is an SIS type epidemic which generalizes the well-known logistic model. Contractually, the premiums are paid by suscepti...
Analysis of a Queueing Model with Batch Markovian Arrival Process and General Distribution for Group Clearance [0.03%]
具有批马尔可夫到达过程和一般分组清除分布的排队模型分析
Srinivas R Chakravarthy,Shruti,Alexander Rumyantsev
Srinivas R Chakravarthy
In this paper we consider a single server queueing model with under general bulk service rule with infinite upper bound on the batch size which we call group clearance. The arrivals occur according to a batch Markovian point process and the...
Generalizations of Runs and Patterns Distributions for Sequences of Binary Trials [0.03%]
二元试验序列中关于游程与模式分布的推广形式
Spiros D Dafnis,Frosso S Makri,Markos V Koutras
Spiros D Dafnis
In the present paper we study the distributions of families of patterns which generalize runs and patterns distributions extensively examined in the literature during the last decades. In our analysis we assume that the sequence of outcomes...
Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data [0.03%]
泊松数据的药物和疫苗上市后安全性监测一类错误概率支出研究
Ivair R Silva
Ivair R Silva
Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The methods can be divided in two types, group and continuous sequential approaches, and a question that arises is if one approach suppresses th...
Editorial of the Special Issue of MCAP: In Honour of Claude Lefèvre on Risk, Epidemics, Stochastic Orderings, Health and Economics [0.03%]
风险、流行病、随机顺序、健康和经济学专辑(Editorial)庆祝克劳德·勒费弗教授贡献集锦
Richard Kryscio,Stéphane Loisel,André de Palma et al.
Richard Kryscio et al.
Uniform Accuracy of the Maximum Likelihood Estimates for Probabilistic Models of Biological Sequences [0.03%]
生物序列的概率模型中极大似然估计的均匀性精度
Svetlana Ekisheva,Mark Borodovsky
Svetlana Ekisheva
Probabilistic models for biological sequences (DNA and proteins) have many useful applications in bioinformatics. Normally, the values of parameters of these models have to be estimated from empirical data. However, even for the most common...