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"False Discovery Rates to Detect Signals from Incomplete Spatially Aggr" by Hsin Cheng Huang, Noel Cressie et al.

There are a number of ways to test for the absence/presence of a spatial signal in a completely observed fine-resolution image. One of these is a powerful nonparametric procedure called enhanced false discovery rate (EFDR). A drawback of EFDR is that it requires the data to be defined on regular pixels in a rectangular spatial domain. Here, we develop an EFDR procedure for possibly incomplete data defined on irregular small areas. Motivated by statistical learning, we use conditional simulation ...
Middle East Conditional Simulation Nhanced False Discovery Rate Hypothesis Testing Small Area Data
Source: uow.edu.au

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