Regression Models for Boolean Random Sets

M. KHAZAEE; K. SHAFIE

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Regression Models for Boolean Random Sets

机译：布尔随机集的回归模型

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In this paper we consider the regression problem for random sets of the Boolean-model type. Regression modeling of the Boolean random sets using some explanatory variables are classified according to the type of these variables as propagation, growth or propagation-growth models. The maximum likelihood estimation of the parameters for the propagation model is explained in detail for some specific link functions using three methods. These three methods of estimation are also compared in a simulation study.

机译：在本文中，我们考虑布尔模型类型的随机集的回归问题。使用一些解释变量对布尔随机集的回归建模根据这些变量的类型分类为传播，增长或传播-增长模型。使用三种方法针对某些特定的链接函数详细解释了传播模型参数的最大似然估计。在仿真研究中还比较了这三种估计方法。

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来源
《Journal of applied statistics》 |2006年第5期|p.557-567|共11页
作者
M. KHAZAEE; K. SHAFIE;
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作者单位

Department of Statistics, Shahid Beheshti University;

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原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
random closed set; boolean model; generalized linear model;

机译：随机封闭集;布尔模型;广义线性模型;

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Regression Models for Boolean Random Sets

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