A Modified Spatiotemporal Mixed-Effects Model for Interpolating Missing Values in Spatiotemporal Observation Data Series
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DOI: 10.1155/2020/1070831
Abstract: Missing values in data series is a common problem in many research and applications. Most of existing interpolation methods are based on spatial or temporal interpolation, without considering the spatiotemporal correlation of observation data, resulting… read more here.
Keywords: missing values; mixed effects; data series; spatiotemporal mixed ... See more keywords