G3F: Global, Multidimensional Spectral Regression Analysis
AM Stettler, CW John, YD Proshlyakov… - Journal of open …, 2019 - pmc.ncbi.nlm.nih.gov
AM Stettler, CW John, YD Proshlyakov, DA Proshlyakov
Journal of open source software, 2019•pmc.ncbi.nlm.nih.govMulti-dimensional non-linear global regression permits the investigation of quantitative
relationships in complex datasets and to examine validity of proposed models. However,
traditional multi-dimensional regression requires predictable variation of all parameters
along every fitted dimension. This constraint may be difficult to satisfy, for example:
relationships in complex datasets and to examine validity of proposed models. However,
traditional multi-dimensional regression requires predictable variation of all parameters
along every fitted dimension. This constraint may be difficult to satisfy, for example:
Multi-dimensional non-linear global regression permits the investigation of quantitative relationships in complex datasets and to examine validity of proposed models. However, traditional multi-dimensional regression requires predictable variation of all parameters along every fitted dimension. This constraint may be difficult to satisfy, for example:
pmc.ncbi.nlm.nih.gov
