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Laboratory Experiments in Information Retrieval

Sample Sizes, Effect Sizes, and Statistical Power - Previously published in hardcover
BuchKartoniert, Paperback
150 Seiten
Englisch
Springererschienen am29.12.2018Softcover reprint of the original 1st ed. 2018
Covering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments.mehr
Verfügbare Formate
BuchGebunden
EUR53,50
BuchKartoniert, Paperback
EUR53,50
E-BookPDFDRM AdobeE-Book
EUR53,49

Produkt

KlappentextCovering aspects from principles and limitations of statistical significance tests to topic set size design and power analysis, this book guides readers to statistically well-designed experiments.
Details
ISBN/GTIN978-981-13-4581-4
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2018
Erscheinungsdatum29.12.2018
AuflageSoftcover reprint of the original 1st ed. 2018
Seiten150 Seiten
SpracheEnglisch
Gewicht256 g
IllustrationenIX, 150 p. 53 illus., 43 illus. in color.
Artikel-Nr.50448724

Inhalt/Kritik

Inhaltsverzeichnis
1 Preliminaries.- 2 t-tests.- 3 Analysis of Variance.- 4 Multiple Comparison Procedures.- 5 The Correct Ways to Use Significance Tests.- 6 Topic Set Size Design Using Excel.- 7 Power Analysis Using R.- 8 Conclusions.mehr

Autor

Tetsuya Sakai is a professor and the head of the Department of Computer Science and Engineering, Waseda University, Japan. He is also a visiting professor at the National Institute of Informatics. He joined Toshiba in 1993 and obtained a Ph.D. from Waseda in 2000. From 2000 to 2001, he was supervised by the late Karen Sparck Jones at the Computer Laboratory, University of Cambridge, as a visiting researcher. In 2007, he joined NewsWatch, Inc. as the director of the Natural Language Processing Lab. In 2009, he joined Microsoft Research Asia. He joined the Waseda faculty in 2013. He is an editor-in-chief of the Information Retrieval Journal (Springer) and an associate editor of ACM TOIS. He received a Waseda University Teaching Award in 2014 and a Waseda University Presidential Teaching Award in 2016.