Spatial multiresolution cluster detection method

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spatial multiresolution cluster detection method

A novel multi-resolution cluster detection (MCD) method is proposed to identify irregularly shaped clusters in space. Multi-scale test statistic on a single cell is derived based on likelihood ratio statistic for Bernoulli sequence, Poisson sequence and Normal sequence. A neighborhood variability measure is defined to select the optimal test threshold. The MCD method is compared with single sca...

متن کامل

Anomalous Spatial Cluster Detection

We describe a general statistical and computational framework for the detection of anomalous spatial clusters, based on the spatial scan statistic [1]. Much of this material has been adapted from [2], to which we refer the reader for a more detailed discussion. We focus here on the purely spatial cluster detection task; for extensions to space-time cluster detection, the reader is referred to [...

متن کامل

Spatial cluster detection using dynamic programming

BACKGROUND The task of spatial cluster detection involves finding spatial regions where some property deviates from the norm or the expected value. In a probabilistic setting this task can be expressed as finding a region where some event is significantly more likely than usual. Spatial cluster detection is of interest in fields such as biosurveillance, mining of astronomical data, military sur...

متن کامل

A Recursive Algorithm for Spatial Cluster Detection

Spatial cluster detection involves finding spatial subregions of some larger region where clusters of some event are occurring. For example, in the case of disease outbreak detection, we want to find clusters of disease cases so as to pinpoint where the outbreak is occurring. When doing spatial cluster detection, we must first articulate the subregions of the region being analyzed. A simple app...

متن کامل

Spatial cluster detection for censored outcome data.

While numerous methods have been proposed to test for spatial cluster detection, in particular for discrete outcome data (e.g., disease incidence), few have been available for continuous data that are subject to censoring. This article provides an extension of the spatial scan statistic (Kulldorff, 1997, Communications in Statistics 26, 1481-1496) for censored outcome data and further proposes ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistics and Its Interface

سال: 2013

ISSN: 1938-7989,1938-7997

DOI: 10.4310/sii.2013.v6.n1.a7