Journalartikel - Wissenschaftlicher Artikel | 2008

How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing

Autor*innen

Bartz-Beielstein, Thomas

Zeitschrift

Synthese

DOI

10.1007/s11229-007-9297-z

Weitere Details

Sprache

englisch

Darstellungsform

Text

Band

163

Ausgabe

Seitenbereich

385 - 396

Zitierstile

Bartz-Beielstein, T. (2008). How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese, 163(3), 385–396. doi:10.1007/s11229-007-9297-z

In die Zwischenablage kopieren

Bartz-Beielstein, T., 2008. How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese, 163(3), pp.385–396.

In die Zwischenablage kopieren

Bartz-Beielstein, Thomas 2008. How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese 163, 3, 385–396.

In die Zwischenablage kopieren

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Zitierstile

Bartz-Beielstein, T. (2008). How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese, 163(3), 385–396. doi:10.1007/s11229-007-9297-z

In die Zwischenablage kopieren

Bartz-Beielstein, T., 2008. How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese, 163(3), pp.385–396.

In die Zwischenablage kopieren

Bartz-Beielstein, Thomas 2008. How Experimental Algorithmics Can Benefit from Mayo’s Extensions to Neyman–Pearson Theory of Testing. Synthese 163, 3, 385–396.

In die Zwischenablage kopieren

Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard