Statistical noise or valuable information the role of extreme cases in marketing research /

Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. In the empirical section, a published segmentati...

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Main Author: Pirker, Clemens.
Other Authors: SpringerLink (Online service)
Format: eBook
Language: English
Published: Wiesbaden : Gabler Verlag / GWV Fachverlage, [2009]
Physical Description: 1 online resource : illustrations.
Series: Gabler research.
Subjects:
Summary: Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. In the empirical section, a published segmentation study on international tourists using sample censoring is replicated and the effects on the results are discussed. The dissertation concludes that authors may leverage their insights from given data by reporting those cases and their influence on the results.
Item Description: Diss.-- University of Innsbruck, 2008.
Includes bibliographical references and index.
Clemens Pirker addresses the frequent doubt among researchers on how to deal with extreme and outlying observations in data analysis. He draws on various scientific domains to explore possible handling alternatives and the relevance of the phenomenon. In the empirical section, a published segmentation study on international tourists using sample censoring is replicated and the effects on the results are discussed. The dissertation concludes that authors may leverage their insights from given data by reporting those cases and their influence on the results.
Literature Review -- Practices in Marketing Research related to Extreme Cases -- Empirical Study -- Discussion and Conclusion.
Physical Description: 1 online resource : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9783834983763
3834983764
3834917621
9783834917621