Application of infrared microscopy and alternating least squares to the forensic analysis of automotive paint chips

2020 ◽  
Author(s):  
Francis Kwofie ◽  
Undugodage Don Nuwan Perera ◽  
Matthew D. Allen ◽  
Barry K. Lavine
Keyword(s):  
Least Squares ◽  
Forensic Analysis ◽  
Alternating Least Squares ◽  
Infrared Microscopy ◽  
Automotive Paint

Bridging the Gap between Quantitative and Qualitative Historical Research: an application of multiple regression analysis and homogeneity analysis with alternating least squares

1996 ◽  
Vol 8 (3) ◽  
pp. 133-144 ◽  
Author(s):  
María del Mar del Pozo Andrés ◽  
Jacques F A Braster
Keyword(s):  
Least Squares ◽  
Multiple Regression ◽  
Historical Research ◽  
Alternating Least Squares ◽  
Categorical Variables ◽  
Two Dimensional ◽  
Homogeneity Analysis ◽  
Regression Approach ◽  
Dimensional Picture ◽  
Selection Of

In this article we propose two research techniques that can bridge the gap between quantitative and qualitative historical research. These are: (1) a multiple regression approach that gives information about general patterns between numerical variables and the selection of outliers for qualitative analysis; (2) a homogeneity analysis with alternating least squares that results in a two-dimensional picture in which the relationships between categorical variables are graphically presented.

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