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  • Search: subject:"Gauss-Markov process"
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Year of publication
Subject
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Boundary crossing probability 2 Estimated parameters 2 Gauss-Markov process 2 Gaussian process 2 Goodness of fit test 2 Martingale transformation 2 Charitable Investment 1 Charity 1 Experiment 1 Fundraising 1 Game theory 1 Gauss-Markov Process 1 Hamilton-Jacobi-Bellman Equations 1 Public Goods 1 Public goods 1 Risikopräferenz 1 Risk Preference,Stochastic Differential Game 1 Risk attitude 1 Spieltheorie 1 Stochastic game 1 Stochastic process 1 Stochastischer Prozess 1 Stochastisches Spiel 1 Voluntary Contribution 1 Wohltätigkeit 1 Öffentliche Güter 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2 Undetermined 1
Author
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Parker, Thomas 2 Jiang, Han 1 Simons, Aggey 1
Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Cahiers de recherche / Département de science Economique, Faculté des Sciences Sociales, Université d'Ottawa 1 MPRA Paper 1 cemmap working paper 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Charitable giving and NPOs investment decision in a stochastic dynamic economy
Jiang, Han; Simons, Aggey - 2021
Persistent link: https://www.econbiz.de/10012665138
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A comparison of alternative approaches to sup-norm goodness of fit tests with estimated parameters
Parker, Thomas - 2010
Goodness of fit tests based on sup-norm statistics of empirical processes have nonstandard limiting distributions when the null hypothesis is composite-that is, when parameters of the null model are estimated. Several solutions to this problem have been suggested, including the calculation of...
Persistent link: https://www.econbiz.de/10010288372
Saved in:
Cover Image
A comparison of alternative approaches to sup-norm goodness of git gests with estimated parameters
Parker, Thomas - Volkswirtschaftliche Fakultät, … - 2010
Goodness of fit tests based on sup-norm statistics of empirical processes have nonstandard limit- ing distributions when the null hypothesis is composite — that is, when parameters of the null model are estimated. Several solutions to this problem have been suggested, including the calculation...
Persistent link: https://www.econbiz.de/10008498467
Saved in:
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