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  • Search: subject:"elliptically symmetric distribution"
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Year of publication
Subject
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elliptically symmetric distribution 3 Archimedean copula 1 Business cycle 1 Generalized least squares 1 Lp Dirichlet distribution 1 credibility premium 1 estimation 1 infinite dimensions 1 joint tail dependence 1 minimum risk 1 random shifting and scaling 1 restricted parameter space 1 turning points 1 variance 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 1
Language
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English 3
Author
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Andrews, Donald W.K. 1 Harding, Don 1 Hashorva, Enkelejd 1 Ji, Lanpeng 1 Phillips, Peter C.B. 1
Institution
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Cowles Foundation for Research in Economics, Yale University 1 Econometric Society 1
Published in...
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Cowles Foundation Discussion Papers 1 Econometric Society 2004 Australasian Meetings 1 Risks 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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Random shifting and scaling of insurance risks
Hashorva, Enkelejd; Ji, Lanpeng - In: Risks 2 (2014) 3, pp. 277-288
Random shifting typically appears in credibility models whereas random scaling is often encountered in stochastic models for claim sizes reflecting the time-value property of money. In this article we discuss some aspects of random shifting and random scaling of insurance risks focusing in...
Persistent link: https://www.econbiz.de/10010421256
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Using turning point information to study economic dynamics
Harding, Don - Econometric Society - 2004
Procedures are developed to compute the proportion of turning points located in the sample path of time series data. It is shown that the proportion of turning points can be directly related to the data generating process. Methods for estimating model parameters are developed using counts of...
Persistent link: https://www.econbiz.de/10005063634
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Best Median Unbiased Estimation in Linear Regression with Bounded Asymmetric Loss Functions
Andrews, Donald W.K.; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 1986
We first show that the Generalized Least Squares estimator is the best median unbiased estimator of the regression parameters for quite general loss functions, when the parameter space is unrestricted. Of note is the fact that this result holds without moment restrictions. Thus, the errors may...
Persistent link: https://www.econbiz.de/10004990719
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