Quantile Regression for Spatial Data. New York: Springer, 2012.McMillen, Daniel. Quantile Regression for Spatial Data. New York: Springer, 2012.Quantile regression for spatial data. Mc Millen D P. . 2013McMillen, Daniel P. 2013. Quantile Regression for Spatial Data, Springer Briefs in ...
No attempt has been made here to deal with spatial temporal missing data in quantile regression. It's a challenge to estimate quantile regression parameters with missing data. Traditionally, there are three popular assumptions for statistical methods to address data incompleteness, missing at random (...
Classical least squares regression may be viewed as a natural way of extending the idea of estimating an unconditional mean parameter to the problem of estimating conditional mean functions ; the crucial link is the formulation of an optimization problem that encompasses both problems. Likewise, quant...
This study employs quantile regression, load capacity curves, and DKSE to investigate the relationships between environmental sustainability and factors such as forestry, financial integration, population growth, economic growth, and urbanization in BIMSTEC zone. It utilizes recent data to evaluate the ...
S. CADE (2000): "Paradigm Shift in Theory and Methods: Regression Quantile Analysis Enables New Insights for Ecology," in Proceedings of the 4th International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospects, and Needs for Research, ed. ...
This work examines the changes in daily mean air temperature over Central Europe using quantile regression, which allows the estimation of trends, not only in the mean but in all parts of the data distribution. A bootstrap procedure is applied for assessing uncertainty on the derived slopes and...
Quantile Regression for Spatial Data.pdf A Lack-of-Fit Test for Quantile Regression Composite quantile regression and the oracle model selection theory nullComposite Quantile Regression and The Oracle Model Selection Theory Tax Incentives and Charitable Contributions the Evidence from Censored Quantile Regres...
Lamarche, C. (2021).Quantile regression for panel data and factor models.Oxford Research Encyclopedia of Economics and Finance. Google Scholar Madueke, C. M., Anisiobi, C. A., & Ozoh, J. N. (2022). Foreign direct investment and poverty reduction in Nigeria: Implication for sustainable de...
The proposed model, here referred to as the Generalized latent-spatial-quantile regression model, is thus appropriate when some covariates are indicators of latent factors that can be used as predictors in the quantile regression and the variables are supposed to be spatially correlated. It is ...
D-vine Copula quantile regression COVID-19 Italian data Spatial dependence 1. Introduction In the late December 2019, the atypical pneumonia originated by SARSCoV-2 virus has exponentially spread out from the city of Wuhan, the capital of the Chinese province of Hubei, identified as the epicentre...