The False Discovery Rate Its Meaning, Interpretation and Application in Data Science

Free Download The False Discovery Rate: Its Meaning, Interpretation and Application in Data Science
English | 2025 | ISBN: 1119889774 | 272 Pages | PDF (True) | 12 MB
First developed in the 1990s, the False Discovery Rate (FDR) is a way of describing the rate at which null hypothesis testing produces errors. It has since become an essential tool for interpreting large datasets. In recent years, as datasets have become ever larger, and as the importance of 'big data' to scientific research has grown, the significance of the FDR has grown correspondingly.