matlab®r2016b function lillietest (MathWorks Inc)
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matlab®r2016b function lillietest
Matlab®R2016b Function Lillietest, 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/matlab%C2%AEr2016b+function+lillietest/10__1016_slash_j__bspc__2018__06__006-210-14-14
Average 90 stars, based on 1 article reviews
Matlab®R2016b Function Lillietest, 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/matlab%C2%AEr2016b+function+lillietest/10__1016_slash_j__bspc__2018__06__006-210-14-14
Average 90 stars, based on 1 article reviews
matlab®r2016b function lillietest - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: A regression approach based on separability maximization for modeling a continuous-valued stress index from electrocardiogram data Article Snippet: In this work we propose a regression approach based on separability maximization (RASMa) for modeling a continuous-valued estimate of the stress level (we called it stress index) using some features extracted from electrocardiogram (ECG) data.. Since no objective measure of the actual stress level (output) is available, finding the stress index cannot be addressed as a classical regression problem.. Instead, the proposed approach finds the linear combination of features that maximizes the separability of stress index values for non-stress and stress events. lectrocardiogram eart rate variability inear discriminant analysis hattacharyya distance egression In short, RASMa combines linear discriminant analysis with the Bhattacharyya distance, embedded in a leave-one-subject-out cross-validation scheme. |