Confidence ellipsoids for ASCA models based on multivariate regression theory
Sign Up to like & getrecommendations! 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
Multicollinearity: How common factors cause Type 1 errors in multivariate regression
Sign Up to like & getrecommendations! 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
Learning the structure of multivariate regression chain graphs by testing complete separators in prime blocks
Sign Up to like & getrecommendations! Published in 2024 at "Applied Intelligence"
DOI: 10.1007/s10489-024-05752-z
Abstract: This paper introduces an algorithm to construct a bidirectional causal graph using an augmented graph. The algorithm decomposes the augmented graph, significantly reducing the size of the variable set required for conditional independence testing. Simultaneously,… read more here.
Keywords: regression chain; augmented graph; multivariate regression; structure ... See more keywords
Predicting the expansion of urban boundary using space syntax and multivariate regression model
Sign Up to like & getrecommendations! 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
Multivariate regression analysis of factors regulating the formation of synthetic aluminosilicate nanoparticles.
Sign Up to like & getrecommendations! Published in 2024 at "Nanoscale"
DOI: 10.1039/d4nr00473f
Abstract: Interest is growing in nanoparticles made of earth abundant materials, like alumino(silicate) minerals. Their applications are expanding to include catalysis, carbon sequestration reactions, and medical applications. It remains unclear, however, what factors control their formation… read more here.
Keywords: multivariate regression; alumino silicate; regression analysis; regression ... See more keywords
Modified intrinsic Bayes factor for multivariate regression models
Sign Up to like & getrecommendations! Published in 2024 at "Statistics"
DOI: 10.1080/02331888.2024.2423255
Abstract: The multivariate Regression model (MRM) is one of the most widely used models for multivariate statistical inference. In this paper, a closed-form and fully objective Bayes factor for comparing two MRMs is introduced. We also… read more here.
Keywords: modified intrinsic; multivariate regression; factor; intrinsic bayes ... See more keywords
Flexible multivariate regression density estimation
Sign Up to like & getrecommendations! 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
Modeling Solar Irradiance and Solar PV Power Output to Create a Resource Assessment Using Linear Multiple Multivariate Regression
Sign Up to like & getrecommendations! 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
Multivariate Regression Analysis for Identifying Key Drivers of Harmful Algal Bloom in Lake Erie
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DOI: 10.3390/app15094824
Abstract: Harmful Algal Blooms (HABs), predominantly driven by cyanobacteria, pose significant risks to water quality, public health, and aquatic ecosystems. Lake Erie, particularly its western basin, has been severely impacted by HABs, largely due to nutrient… read more here.
Keywords: lake erie; multivariate regression; harmful algal; regression analysis ... 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
Sign Up to like & getrecommendations! 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