multiple linear regression tool (MathWorks Inc)
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MathWorks Inc
multiple linear regression tool
Multiple Linear Regression Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multiple+regression+tool/pm37658147-129-5-10
Average 90 stars, based on 1 article reviews
Multiple Linear Regression Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multiple+regression+tool/pm37658147-129-5-10
Average 90 stars, based on 1 article reviews
multiple linear regression tool - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: An in-depth investigation of the impact of salt nature on the formulation of microemulsion systems. Article Snippet: Here we used the multiple Article Title: Mobile measurements and regression modeling of the spatial particulate matter variability in an urban area. Article Snippet: Contents lists available at SciVerse ScienceDirect Science of the Total Environment j ourna l homepage: www.e lsev ie r .com/ locate /sc i totenv Mobile measurements and regression modeling of the spatial particulate matter variability in an urban area Hendrik Merbitz a,b,⁎, Sabine Fritz a, Christoph Schneider a a RWTH Aachen University, Department of Geography, Aachen, Germany b RWTH Aachen University, Humtec, City2020+, Aachen, Germany H I G H L I G H T S ► Small scale mobile measurements of urban PM10 and PM2.5 concentrations ► Identification of factors influencing urban particulate matter concentrations ► GIS-based regression modeling of PM10 and PM2.5 levels at a high spatial resolution using 3 spatial predictors ⁎ Corresponding author at: RWTH Aachen Universit Templergraben 55, D-52056 Aachen, Germany.. Tel.. : + 241 80 92157. Software:Article Title: An approach to linking remotely sensed data and areal census data Article Snippet: With the increasing availability of remotely sensed data and census data, discussing their relationship is one of the important issues in GIS data integration.. This paper proposed an approach to linking three levels (macro, medium and micro) of land classi cations with areal census data on hierarchical census boundaries.. Speci cally, a method of building the correlations between areal census dwelling data and residential densities classi ed by a remote sensing approach was demonstrated. |