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- W2892454189 abstract "Statistical significance testing has been under attack for decades. This section first discusses the criticisms on, and limitations of, significance testing (Sect. 5.1). Then it argues the importance of effect sizes, which typically represent the magnitude of the difference between systems (Sect. 5.2), and finally proposes how researchers should present their significance test results in technical papers and reports (Sect. 5.3). Reporting individual results effectively means that the research community as a whole can accumulate reproducible pieces of evidence and draw general conclusions from them; if researchers adhere to bad practices, that would mean a community where very little is learnt from one another." @default.
- W2892454189 created "2018-10-05" @default.
- W2892454189 creator A5023595778 @default.
- W2892454189 date "2018-01-01" @default.
- W2892454189 modified "2023-09-27" @default.
- W2892454189 title "The Correct Ways to Use Significance Tests" @default.
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- W2892454189 doi "https://doi.org/10.1007/978-981-13-1199-4_5" @default.
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