New statistical method can flag hidden anomalies in scientific datasets
A research team at the University of Vienna, led by pharmaceutical chemist Johannes Kirchmair, has developed a statistical method to identify hidden anomalies in scientific datasets. The method can be applied automatically to large datasets, making it easier for researchers to pi
A research team at the University of Vienna, led by pharmaceutical chemist Johannes Kirchmair, has developed a statistical method to identify hidden anomalies in scientific datasets. The method can be applied automatically to large datasets, making it easier for researchers to pi This story matters for Science & Discovery readers tracking insect. Reported by phys.org. Read the full original at the source link below.
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