A spatial scan statistic
A spatial scan statistic
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DOI：
10.1080/03610929708831995
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发表时间：
1997-01-01
影响因子：
0.8
通讯作者：
Kulldorff, M
中科院分区：
文献类型：
--
作者：
Kulldorff, M
扫描统计量通常用于测试一维点过程是否是纯随机的，或者是否可以检测到任何簇。在这里，它是同时在三个方向上扩展：（i）提出了一个空间扫描统计的检测集群在一个多维点的过程，（ii）的扫描窗口的面积是允许变化的，和（iii）基线过程可以是任何非齐次泊松过程或伯努利过程与强度成比例的一些已知的功能。主要的兴趣是在检测集群没有解释的基线过程。这些方法都说明了流行病学数据集，但也有其他潜在的应用领域。
The scan statistic is commonly used to test if a one dimensional point process is purely random, or if any clusters can be detected. Here it is simultaneously extended in three directions: (i) a spatial scan statistic for the detection of clusters in a multi-dimensional point process is proposed, (ii) the area of the scanning window is allowed to vary, and (iii) the baseline process may be any inhomogeneous Poisson process or Bernoulli process with intensity proportional to some known function. The main interest is in detecting clusters not explained by the baseline process.These methods are illustrated on an epidemiological data set, but there are other potential areas of application as well.