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  • Search: subject:"cook's distance"
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Year of publication
Subject
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Cook's distance 3 outliers 3 Cook's Distance 2 EM algorithm 2 heteroskedasticity 2 return to education 2 specification 2 weak instruments 2 62H99 Multilevel models Case deletion Influential observations Cook's distance 1 62J20 secondary 1 Anscombe's quartet 1 Beziehungsmarketing 1 Bildungsertrag 1 Bitcoin 1 COVID-19 1 COVID-19 epidemic 1 COVID-19 news 1 COVID-19 pandemic 1 Case-deletion model 1 Cook distance 1 Corporate culture 1 Generalized Cook distance 1 Heteroskedastizität 1 Influential observations 1 Learning organization 1 Lernende Organisation 1 Likelihood methods 1 Local influence 1 Local influence analysis 1 MSGARCH 1 Marketing management 1 Marketingmanagement 1 Modell-Spezifikation 1 Multivariate t distribution 1 Organisationsstruktur 1 Organizational structure 1 Poisson inverse Gaussian regression models 1 Relationship marketing 1 Residual analysis 1 Russia 1
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Online availability
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Undetermined 7 Free 3
Type of publication
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Article 8 Book / Working Paper 3
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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Undetermined 7 English 4
Author
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Jaeger, David A. 2 Parys, Juliane 2 Wei, Bo-Cheng 2 Xie, Feng-Chang 2 Barros, Michelli 1 Bücker, Michael 1 Chen, Gemai 1 Droždz, Jolanta 1 Galea, Manuel 1 González, Manuel 1 Hoops, Christian 1 Imon, A. H. M. Rahmatullah 1 Lee, Sik-Yum 1 Leiva, Víctor 1 Lin, Jin-Guan 1 Martin, Nirian 1 Novickytė, Lina 1 Pardo, Leandro 1 Pastusiak, Radosław 1 Shi, Lei 1 Soliwoda, Michał 1 Wang, S. 1
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Institution
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Institute for the Study of Labor (IZA) 1
Published in...
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Journal of Applied Statistics 3 IZA Discussion Papers 2 Journal of Multivariate Analysis 1 Journal of entrepreneurship, management and innovation : JEMI ; a quarterly journal of Nowy Sacz School of Business, National-Louis University 1 Metrika 1 Psychometrika 1 Statistical Methods and Applications 1
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Source
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RePEc 8 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 10 of 11
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From COVID-19 to Resilience: Quantitative Methods in Economics and Business
Novickytė, Lina (contributor); Droždz, Jolanta (contributor) - 2023
The present reprint contains 11 articles accepted for publication and published in the Special Issue From COVID-19 to Resilience: Quantitative Methods in Economics and Business of the MDPI Mathematics journal. These articles cover a wide range of topics analyzing economics and business...
Persistent link: https://www.econbiz.de/10014520975
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On the sensitivity of return to schooling estimates to estimation methods, model specification, and influential outliers if identification is weak
Jaeger, David A.; Parys, Juliane - 2009
. We propose to use Cook's Distance in order to identify influential outliers having substantial influence on first …
Persistent link: https://www.econbiz.de/10010269280
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On the Sensitivity of Return to Schooling Estimates to Estimation Methods, Model Specification, and Influential Outliers If Identification Is Weak
Jaeger, David A.; Parys, Juliane - Institute for the Study of Labor (IZA) - 2009
. We propose to use Cook's Distance in order to identify influential outliers having substantial influence on first … identification is especially weak. We propose to use Cook's Distance in order to identify influential outliers having substantial … variable is the log of weekly earnings. Age and age squared are measured in quarters of years. Cook's Distance is calculated …
Persistent link: https://www.econbiz.de/10005030897
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Determinants, moderators and consequences of organizational interaction orientation
Hoops, Christian; Bücker, Michael - In: Journal of entrepreneurship, management and innovation … 9 (2013) 4, pp. 73-100
Persistent link: https://www.econbiz.de/10010358515
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Influence diagnostics in the tobit censored response model
Barros, Michelli; Galea, Manuel; González, Manuel; … - In: Statistical Methods and Applications 19 (2010) 3, pp. 379-397
Persistent link: https://www.econbiz.de/10008673842
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On the asymptotic distribution of Cook's distance in logistic regression models
Martin, Nirian; Pardo, Leandro - In: Journal of Applied Statistics 36 (2009) 10, pp. 1119-1146
diagnostic tools. Focussed on logistic regression, the aim of this paper is to provide the asymptotic distribution of Cook …'s distance in order to look for a meaningful cutoff point for detecting influential and leverage observations. …
Persistent link: https://www.econbiz.de/10008466731
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Case deletion diagnostics in multilevel models
Shi, Lei; Chen, Gemai - In: Journal of Multivariate Analysis 99 (2008) 9, pp. 1860-1877
This paper studies case deletion diagnostics for multilevel models. Using subset deletion, diagnostic measures for identifying influential units at any level are developed for both fixed and random parameters. Two approximate update formulae are derived. The first formula uses one-step...
Persistent link: https://www.econbiz.de/10005006568
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Influence analysis for Poisson inverse Gaussian regression models based on the EM algorithm
Xie, Feng-Chang; Wei, Bo-Cheng - In: Metrika 67 (2008) 1, pp. 49-62
Persistent link: https://www.econbiz.de/10005155897
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Case-deletion Influence Measures for the Data from Multivariate t Distributions
Xie, Feng-Chang; Wei, Bo-Cheng; Lin, Jin-Guan - In: Journal of Applied Statistics 34 (2007) 8, pp. 907-921
For the data from multivariate t distributions, it is very hard to make an influence analysis based on the probability density function since its expression is intractable. In this paper, we present a technique for influence analysis based on the mixture distribution and EM algorithm. In fact,...
Persistent link: https://www.econbiz.de/10005458336
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Identifying multiple influential observations in linear regression
Imon, A. H. M. Rahmatullah - In: Journal of Applied Statistics 32 (2005) 9, pp. 929-946
The identification of influential observations has drawn a great deal of attention in regression diagnostics. Most of these identification techniques are based on single case deletion and among them DFFITS has become very popular with the statisticians. But this technique along with all other...
Persistent link: https://www.econbiz.de/10005278903
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