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African Journal of Applied Statistics最新文献

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Change-point detection: application of Cusum method to real life data 变化点检测:Cusum方法在现实生活数据中的应用
Pub Date : 1900-01-01 DOI: 10.16929/ajas/2021.1041.256
Edoh Katchekpele, T. A. Kpanzou, J. O. Ouedraogo
Several procedures have been developed for the detection of abrupt changes in time series. Among these procedures, it can be mentioned the Cumulative Sum (Cusum) type method. It is in such a perspective that Katchekpele et al. (2017) proposed a method using a Cusum type test to detect a change-point in the unconditional variance of the generalised autoregressive conditional heteroskedasticity(GARCH) models. The aim of this paper is to present an application of their technique. After briefly recalling how the test statistic was constructed, the change-point detection algorithm is given and it is shown how it is applied to some real life data.
已经开发了几种程序来检测时间序列中的突变。在这些程序中,可以提到累积和(Cusum)类型方法。正是在这样的视角下,Katchekpele等人(2017)提出了一种使用Cusum类型检验来检测广义自回归条件异方差(GARCH)模型无条件方差中的变化点的方法。本文的目的是介绍他们的技术的应用。在简要回顾检验统计量的构造之后,给出了变点检测算法,并展示了如何将其应用于一些实际数据。
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引用次数: 0
Unobserved Heterogeneity in Determinants of Under-five Mortality in Nigeria: Frailty Modeling in Survival Analysis 尼日利亚5岁以下儿童死亡率决定因素的未观察到的异质性:生存分析中的脆弱性模型
Pub Date : 1900-01-01 DOI: 10.16929/AJAS/2019.565.231
A. Fagbamigbe, R. Afolabi, Kofoworola Yussuf Alade, A. Adebowale, B. Yusuf
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引用次数: 5
Bayesian Estimation of Cox Proporional Hazard model under A Piecewise Constant model for Baseline Hazard and the problem of Survival Time Axis Grid 基线危险度分段常数模型下Cox比例危险度模型的贝叶斯估计及生存时间轴网格问题
Pub Date : 1900-01-01 DOI: 10.16929/AJAS/2019.551.230
Fatih Chellai, Boudrissa Naima
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引用次数: 0
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African Journal of Applied Statistics
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