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   Articles with "multivariate regression" as a keyword



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Confidence ellipsoids for ASCA models based on multivariate regression theory

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recommendations! Published in 2018 at "Journal of Chemometrics"

DOI: 10.1002/cem.2990

Abstract: In analysis of variance simultaneous component analysis, permutation testing is the standard way of assessing uncertainty of effect level estimates. This article introduces an analytical solution to the assessment of uncertainty through classical multivariate regression… read more here.

Keywords: ellipsoids asca; theory; confidence ellipsoids; regression theory ... See more keywords
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Multicollinearity: How common factors cause Type 1 errors in multivariate regression

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recommendations! Published in 2018 at "Southern Medical Journal"

DOI: 10.1002/smj.2783

Abstract: Research Summary: In multivariate regression analyses of correlated variables, we sometimes observe pairs of estimated beta coefficients large in absolute magnitude and opposite in sign. T‐statistics are also large, suggesting meaningful findings. I found 64… read more here.

Keywords: beta coefficients; type errors; multivariate regression; opposite sign ... See more keywords
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Predicting the expansion of urban boundary using space syntax and multivariate regression model

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recommendations! Published in 2019 at "Habitat International"

DOI: 10.1016/j.habitatint.2019.03.001

Abstract: Abstract Urban boundaries (UBs) are of great significance for urban planners to constrain urban expansion and protect the surrounding rural landscapes. However, existing studies mainly focus on evaluating land use suitability and modeling land conversion;… read more here.

Keywords: space syntax; multivariate regression; syntax; model ... See more keywords
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Flexible multivariate regression density estimation

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recommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2020.1723633

Abstract: Abstract We consider the problem of flexibly modeling the conditional density of a multivariate response given covariates. We model the regression density function as a mixture of multivariate normals density with the mean vectors and… read more here.

Keywords: multivariate regression; regression density; flexible multivariate; density ... See more keywords
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Modeling Solar Irradiance and Solar PV Power Output to Create a Resource Assessment Using Linear Multiple Multivariate Regression

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recommendations! Published in 2017 at "Journal of Applied Meteorology and Climatology"

DOI: 10.1175/jamc-d-16-0175.1

Abstract: AbstractThe increased use of solar photovoltaic (PV) cells as energy sources on electric grids has created the need for more accessible solar irradiance and power production estimates for use in power modeling software. In the… read more here.

Keywords: irradiance; linear multiple; multiple multivariate; solar irradiance ... See more keywords

Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: a case study in the Sarvian area, central Iran

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recommendations! Published in 2017 at "Solid Earth"

DOI: 10.5194/se-9-373-2018

Abstract: Abstract. This paper uses multivariate regression to create a mathematical model for iron skarn exploration in the Sarvian area, central Iran, using multivariate regression for mineral prospectivity mapping (MPM). The main target of this paper… read more here.

Keywords: mineral; regression; sarvian area; iron ... See more keywords