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  • Search: subject:"quantile plot"
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Year of publication
Subject
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Confidence region 1 Extreme value index 1 Normal quantile plot 1 Pareto quantile plot 1 Quantile plots 1 Standardizing 1 autoregression 1 empirical likelihood 1 funnel plot 1 industrial relations 1 normal quantile plot 1 publication bias 1 quantile plot 1 rank correlation analysis 1 three-sample com- parison 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 3
Author
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Beirlant, Jan 1 Boon, M. 1 Carbonez, An 1 Doucouliagos, Hristos 1 Einmahl, John 1 Glänzel, Wolfgang 1 Laroche, Patrice 1 Leemans, Herlinde 1 McKeague, I.W. 1
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Institution
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Centre Européen de Recherche en Économie Financière et en Gestion des Entreprises (CEREFIGE), Unité de Formation et de Recherche Droit, Sciences Économiques et Gestion 1 Tilburg University, Center for Economic Research 1
Published in...
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Cahiers du CEREFIGE 1 Discussion Paper / Tilburg University, Center for Economic Research 1 Journal of Informetrics 1
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
Visualizing Multiple Quantile Plots
Einmahl, John; Boon, M.; McKeague, I.W. - Tilburg University, Center for Economic Research - 2011
Multiple quantile plots provide a powerful graphical method for comparing the distributions of two or more populations. This paper develops a method of visualizing triple quantile plots and their associated confidence tubes, thus extending the notion of a QQ plot to three dimensions. More...
Persistent link: https://www.econbiz.de/10011091410
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Cover Image
Scoring research output using statistical quantile plotting
Beirlant, Jan; Glänzel, Wolfgang; Carbonez, An; … - In: Journal of Informetrics 1 (2007) 3, pp. 185-192
a Pareto–Zipf quantile plot. This index, in contrast to the Hirsch index, is not influenced by the number of …
Persistent link: https://www.econbiz.de/10011039483
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Publication bias in industrial relations research
Laroche, Patrice; Doucouliagos, Hristos - Centre Européen de Recherche en Économie Financière … - 2003
Publication bias arises when statistically non-significant results are suppressed or when only results satisfying prior expectations are published. Like most fields, research in industrial relations is vulnerable to publication bias. In this paper, qualitative and quantitative techniques are...
Persistent link: https://www.econbiz.de/10010900324
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