matlab simulink 2016b Search Results


matlab/simulink 2016b  (MathWorks Inc)
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matlab simulink real time toolbox  (MathWorks Inc)
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2016b  (MathWorks Inc)
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MathWorks Inc 2016b
Results of the multiple comparison test (Matlab) based on the stats matrix of ANOVA (Matlab 2016b) following a <t> Lilliefors test </t> (Matlab <t> 2016b), </t> which confirmed that the data are normally distributed.
2016b, 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
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matlab/simulink platform  (MathWorks Inc)
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Results of the multiple comparison test (Matlab) based on the stats matrix of ANOVA (Matlab 2016b) following a <t> Lilliefors test </t> (Matlab <t> 2016b), </t> which confirmed that the data are normally distributed.
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vehicle longitudinal automatic driving model matlab [version 2016b]  (MathWorks Inc)
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graesser model program in the simulink toolbox  (MathWorks Inc)
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MathWorks Inc graesser model program in the simulink toolbox
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matlab/simulink  (MathWorks Inc)
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MathWorks Inc matlab/simulink
Results of the multiple comparison test (Matlab) based on the stats matrix of ANOVA (Matlab 2016b) following a <t> Lilliefors test </t> (Matlab <t> 2016b), </t> which confirmed that the data are normally distributed.
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dynamic simulator  (MathWorks Inc)
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MathWorks Inc dynamic simulator
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xilinx vivado 2016.4  (Xilinx Inc)
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simulation model  (MathWorks Inc)
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jasper toolflow  (Xilinx Inc)
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Image Search Results


Results of the multiple comparison test (Matlab) based on the stats matrix of ANOVA (Matlab 2016b) following a Lilliefors test (Matlab 2016b), which confirmed that the data are normally distributed.

Journal: Scientific Reports

Article Title: Light-cured polymer electrodes for non-invasive EEG recordings

doi: 10.1038/s41598-018-32304-6

Figure Lengend Snippet: Results of the multiple comparison test (Matlab) based on the stats matrix of ANOVA (Matlab 2016b) following a Lilliefors test (Matlab 2016b), which confirmed that the data are normally distributed.

Article Snippet: We tested the data distribution with the Lilliefors test (Matlab 2016b, Simulink).

Techniques: