Geographically weight seemingly unrelated regression (GWSUR): a method for exploring spatio-temporal heterogeneity
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DOI: 10.1080/00036846.2017.1279266
Abstract: ABSTRACT Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear-based estimating approach is developed to estimate the… read more here.
Keywords: geographically weight; heterogeneity; unrelated regression; weight seemingly ... See more keywords
A novel perspective for parameter estimation of seemingly unrelated nonlinear regression
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DOI: 10.1080/02664763.2021.1877638
Abstract: Nonlinear regression is commonly used as a modeling tool to get a functional form between inputs and response variables when the inputs and the responses have a nonlinear relationship. It should be better to compose… read more here.
Keywords: parameter estimation; parameter; seemingly unrelated; nonlinear regression ... See more keywords
Some remarks on a pair of seemingly unrelated regression models
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DOI: 10.1515/math-2019-0077
Abstract: Abstract Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference. A special class of linear regression models is called the seemingly… read more here.
Keywords: regression; pair seemingly; unrelated regression; regression models ... See more keywords