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  • Search: subject:"Kolmogorov–Smirnov statistic"
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Year of publication
Subject
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Critical values 2 Goodness of fit tests 2 Kolmogorov-Smirnov statistic 2 Anderson - Darling statistic 1 Anderson-Darling statistic 1 Corruption 1 Corruption Index 1 Cramer-Von Mises statistic 1 Cramér - Von Mises statistic 1 Empirical Distribution function 1 Empirical distribution function 1 Kolmogorov - Smirnov statistic 1 Korruption 1 Kuiper Statistic 1 Kuiper statistic 1 Monte-Carlo Simulations 1 Monte-Carlo simulations 1 Probability theory 1 Theorie 1 Theory 1 Wahrscheinlichkeitsrechnung 1 corruption scores 1 discriminant analysis 1 probability of corruption 1 separation 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 3
Author
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Alessi, Lucia 2 Barigozzi, Matteo 2 Capasso, Marco 2 Fagiolo, Giorgio 2 Mohamed Abdel Rahman Salih 1
Institution
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Laboratory of Economics and Management (LEM), Scuola Superiore Sant'Anna 1
Published in...
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Advances in management & applied economics 1 LEM Papers Series 1 LEM Working Paper Series 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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The determinants of economic corruption : a probabilistic approach
Mohamed Abdel Rahman Salih - In: Advances in management & applied economics 3 (2013) 3, pp. 155-169
The determinants of corruption have been debated by economists and non-economists for the past few decades. However, no consensus has been reached about the exact determinants of corruption and as well the direction of the effect of some the known key variables used in corruption studies. Most...
Persistent link: https://www.econbiz.de/10009759793
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On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters
Capasso, Marco; Alessi, Lucia; Barigozzi, Matteo; … - Laboratory of Economics and Management (LEM), Scuola … - 2007
This note discusses some problems possibly arising when approximating via Monte-Carlo simulations the distributions of goodness-of-fit test statistics based on the empirical distribution function. We argue that failing to re-estimate unknown parameters on each simulated Monte-Carlo sample -- and...
Persistent link: https://www.econbiz.de/10005650091
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On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters
Capasso, Marco; Alessi, Lucia; Barigozzi, Matteo; … - 2007
This note discusses some problems possibly arising when approximating via Monte-Carlo simulations the distributions of goodness-of-fit test statistics based on the empirical distribution function. We argue that failing to reestimate unknown parameters on each simulated Monte-Carlo sample - and...
Persistent link: https://www.econbiz.de/10010328518
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