Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
Emmert-Streib, Frank; Dehmer, Matthias (2019-08-12)
Emmert-Streib, Frank
Dehmer, Matthias
12.08.2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202003032473
https://urn.fi/URN:NBN:fi:tuni-202003032473
Kuvaus
Peer reviewed
Tiivistelmä
Statistical hypothesis testing is among the most misunderstood quantitative analysis methods from data science. Despite its seeming simplicity, it has complex interdependencies between its procedural components. In this paper, we discuss the underlying logic behind statistical hypothesis testing, the formal meaning of its components and their connections. Our presentation is applicable to all statistical hypothesis tests as generic backbone and, hence, useful across all application domains in data science and artificial intelligence.
Kokoelmat
- TUNICRIS-julkaisut [16740]