TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut945-962
JulkaisuMachine Learning and Knowledge Extraction
Vuosikerta1
Numero3
DOI - pysyväislinkit
TilaJulkaistu - 12 elokuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

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.

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