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  • Search: subject:"Goodness of fit testing"
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Year of publication
Subject
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goodness-of-fit testing 8 Goodness-of-fit testing 5 Homoscedasticity 4 Insurance risk model 4 Loss distribution 4 Poisson process 4 Random variable generation 4 empirical process 4 nonparametric regression 4 pseudo residuals 4 Claim arrival process 3 Renewal process 3 Statistischer Test 3 Bipower Variation 2 Central Limit Theorem 2 Diffusion Models 2 Extreme value theory 2 Goodness-Of- Fit Testing 2 High-Frequency Data 2 Integrated Volatility 2 Range-Based Bipower Variation 2 Semimartingale Theory 2 Statistical distribution 2 Statistical test 2 Statistische Verteilung 2 Theorie 2 bootstrap 2 martingale transformation 2 tail dependence 2 ARCH model 1 ARCH-Modell 1 Ausreißer 1 Bagdonavičius-Nikulin 1 Bootstrap approach 1 Bootstrap-Verfahren 1 CO2 1 Estimation theory 1 Fuel-Switching 1 Heavy tails 1 Limited expected value function 1
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Online availability
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Free 15 CC license 1
Type of publication
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Book / Working Paper 14 Article 1
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 10 Undetermined 5
Author
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Burnecki, Krzysztof 5 Dette, Holger 4 Hetzler, Benjamin 4 Janczura, Joanna 4 Weron, Rafal 3 Podolskij, Mark 2 Ziggel, Daniel 2 Aidi, Khaoula 1 Ali, M. Masoom 1 Can, S.U. 1 Can, Sami Umut 1 Chevallier, Julien 1 Einmahl, John 1 Einmahl, John H. J. 1 Goutte, Stéphane 1 Ibrahim, Mohamed 1 Khmaladze, E.V. 1 Khmaladze, Estate V. 1 Laeven, R.J.A. 1 Laeven, Roger J. A. 1 Misiorek, Adam 1 RafaÅ‚ Weron 1 Weron, Rafał 1 Yousof, Haitham M. 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2 School of Economics and Management, University of Aarhus 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Hugo Steinhaus Center for Stochastic Methods, Politechnika Wrocławska 1 Institut de Préparation à l'Administration et à la Gestion (IPAG) 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1 Tilburg University, Center for Economic Research 1
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Published in...
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CREATES Research Papers 2 MPRA Paper 2 Technical Report 2 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2 Discussion Paper / Tilburg University, Center for Economic Research 1 Discussion paper / Center for Economic Research, Tilburg University 1 HSC Research Reports 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Working Papers / Institut de Préparation à l'Administration et à la Gestion (IPAG) 1
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Source
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RePEc 10 EconStor 3 ECONIS (ZBW) 2
Showing 1 - 10 of 15
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The modified Bagdonavičius-Nikulin goodness-of-fit test statistic for the right censored distributional validation with applications in medicine and reliability
Yousof, Haitham M.; Ali, M. Masoom; Aidi, Khaoula; … - In: Statistics in transition : an international journal of … 24 (2023) 4, pp. 1-18
A modified version of Bagdonavičius-Nikulin goodness-of-fit statistical test is presented for validation under the right censor case. Simulation via Barzilai-Borwein algorithm is performed for assessing the right-censorship estimation method. Four right censored data sets are analyzed under the...
Persistent link: https://www.econbiz.de/10015114876
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The goodness-of-fit of the fuel-switching price using the mean-reverting Lévy jump process
Chevallier, Julien; Goutte, Stéphane - Institut de Préparation à l'Administration et à la … - 2014
This article analyzes the interactions between the electricity and CO2 (carbon) markets. In particular, we describe the dynamics of the fuel-switching price (from coal to gas) when taking into account carbon costs. Several stochastic processes are considered to model the fuel-switching price:...
Persistent link: https://www.econbiz.de/10010766054
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Asymptotically Distribution-Free Goodness-of-Fit Testing for Tail Copulas
Einmahl, John; Can, S.U.; Khmaladze, E.V.; Laeven, R.J.A. - Tilburg University, Center for Economic Research - 2014
Let (X1, Y1),…., (Xn, Yn) be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of<br/>an extreme value distribution. The asymptotic joint distribution of the standardized component-wise maxima<br/>√n i=1 Xi and √n i=1 Yi is then characterized by the...
Persistent link: https://www.econbiz.de/10011144457
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Asymptotically distribution-free goodness-of-fit testing for tail copulas
Can, Sami Umut; Einmahl, John H. J.; Khmaladze, Estate V.; … - 2014
Persistent link: https://www.econbiz.de/10011283328
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Building loss models
Burnecki, Krzysztof; Janczura, Joanna; Weron, Rafał - 2010
This paper is intended as a guide to building insurance risk (loss) models. A typical model for insurance risk, the so-called collective risk model, treats the aggregate loss as having a compound distribution with two main components: one characterizing the arrival of claims and another...
Persistent link: https://www.econbiz.de/10010281574
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Building Loss Models
Burnecki, Krzysztof; Janczura, Joanna; RafaÅ‚ Weron - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2010
This paper is intended as a guide to building insurance risk (loss) models. A typical model for insurance risk, the so-called collective risk model, treats the aggregate loss as having a compound distribution with two main components: one characterizing the arrival of claims and another...
Persistent link: https://www.econbiz.de/10011184074
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Building Loss Models
Burnecki, Krzysztof; Janczura, Joanna; Weron, Rafal - Hugo Steinhaus Center for Stochastic Methods, … - 2010
This paper is intended as a guide to building insurance risk (loss) models. A typical model for insurance risk, the so-called collective risk model, treats the aggregate loss as having a compound distribution with two main components: one characterizing the arrival of claims and another...
Persistent link: https://www.econbiz.de/10009323912
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Loss Distributions
Burnecki, Krzysztof; Misiorek, Adam; Weron, Rafal - Volkswirtschaftliche Fakultät, … - 2010
This paper is intended as a guide to statistical inference for loss distributions. There are three basic approaches to deriving the loss distribution in an insurance risk model: empirical, analytical, and moment based. The empirical method is based on a sufficiently smooth and accurate estimate...
Persistent link: https://www.econbiz.de/10008622253
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Building Loss Models
Burnecki, Krzysztof; Janczura, Joanna; Weron, Rafal - Volkswirtschaftliche Fakultät, … - 2010
This paper is intended as a guide to building insurance risk (loss) models. A typical model for insurance risk, the so-called collective risk model, treats the aggregate loss as having a compound distribution with two main components: one characterizing the arrival of claims and another...
Persistent link: https://www.econbiz.de/10008678287
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A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models
Podolskij, Mark; Ziggel, Daniel - School of Economics and Management, University of Aarhus - 2008
We propose a new test for the parametric form of the volatility function in continuous time diffusion models of the type dXt = a(t;Xt)dt + _(t;Xt)dWt. Our approach involves a range-based estimation of the integrated volatility and the integrated quarticity, which are used to construct the test...
Persistent link: https://www.econbiz.de/10005114121
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