Spatial cluster detection of regression coefficients in a mixed‐effects model
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DOI: 10.1002/env.2578
Abstract: Identifying spatial clusters of different regression coefficients is a useful tool for discerning the distinctive relationship between a response and covariates in space. Most of the existing cluster detection methods aim to identify the spatial… read more here.
Keywords: cluster detection; detection; regression coefficients; mixed effects ... See more keywords
Cluster detection of spatial regression coefficients.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7172
Abstract: Popular approaches to spatial cluster detection, such as the spatial scan statistic, are defined in terms of the responses. Here, we consider a varying-coefficient regression and spatial clusters in the regression coefficients. For varying-coefficient regression,… read more here.
Keywords: cluster detection; methodology; regression coefficients; regression ... See more keywords
betaDelta and betaSandwich: Confidence Intervals for Standardized Regression Coefficients in R.
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2023.2201277
Abstract: The multivariate delta method was used by Yuan and Chan to estimate standard errors and confidence intervals for standardized regression coefficients. Jones and Waller extended the earlier work to situations where data are nonnormal by… read more here.
Keywords: confidence intervals; intervals standardized; standardized regression; regression coefficients ... See more keywords
Simple and flexible Bayesian inferences for standardized regression coefficients
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DOI: 10.1080/02664763.2019.1584609
Abstract: ABSTRACT In statistical practice, inferences on standardized regression coefficients are often required, but complicated by the fact that they are nonlinear functions of the parameters, and thus standard textbook results are simply wrong. Within the… read more here.
Keywords: regression coefficients; standardized coefficients; inferences standardized; standardized regression ... See more keywords
Regularised forecasting via smooth-rough partitioning of the regression coefficients
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DOI: 10.1214/19-ejs1573
Abstract: We introduce a way of modelling temporal dependence in random functions X(t) in the framework of linear regression. Based on discretised curves {Xi(t0),Xi(t1),…,Xi(tT)}, the final point Xi(tT) is predicted from {Xi(t0),Xi(t1),…,Xi(tT−1)}. The proposed model flexibly… read more here.
Keywords: regression; change; partitioning regression; point ... See more keywords
The Spatial-Temporal Characteristics of Cultivated Land and Its Influential Factors in The Low Hilly Region: A Case Study of Lishan Town, Hubei Province, China
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DOI: 10.3390/su11143810
Abstract: Cultivated land is a basic resource that is related to the sustainable development of the global economy and society. Studying the spatial and temporal distribution of cultivated land and its influential factors at the township… read more here.
Keywords: influential factors; cultivated land; regression coefficients; land ... See more keywords