Practical Data Analysis in Chemistry
By M. Maeder. 2011
173 citations recorded by the source corpus.
Subfields: Physical and Theoretical Chemistry
View Paper: https://www.semanticscholar.org/paper/6b6756bd4601b2b3e169e0d0ce932e250b886862
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Physical and Theoretical Chemistry
Citations in the corpus
- BioXTAS RAW: improvements to a free open-source program for small-angle X-ray scattering data reduction and analysis (2017, methodology): “Evolving factor analysis (EFA) is an extension of SVD to allow model-independent separation of scattering profiles from mixed solutions, particularly overlapping computer programs 1550 Jesse Bennett Hopkins et al. BioXTAS RAW chromatographic peaks (Maeder, 1987; Maeder & Neuhold, 2007).”
- A fast polygon inflation algorithm to compute the area of feasible solutions for three‐component systems. I: concepts and applications (2013, background): “For general literature on the pure component decomposition, see Malinowski [7], Hamilton and Gemperline [8], and Maeder and Neuhold [9].”
- ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis (2021, background): “…such as multivariate curve resolution–alternating least squares (MCR-ALS) (Herranz-Trillo et al. , 2017) and evolving factor analysis (EFA) (Maeder, 1987; Maeder & Neuhold, 2007; Meisburger et al. , 2016) could aid in finding subsets of the data taken along the pathways where DAMMIX may be applied.”
- Pure component spectral recovery and constrained matrix factorizations: concepts and applications (2010, methodology): “For a survey on model-based chemometrical methods see Chapter 4 in [1] or [2].”