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Bias-reduced and variance-corrected asymptotic Gaussian Inference about extreme expectiles
Daouia, Abdelaati; Stupfler, Gilles; Usseglio-Carleve, … - 2023
Persistent link: https://www.econbiz.de/10014286699
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Combined survey sampling inference
Brewer, Ken - 2002
Persistent link: https://www.econbiz.de/10004751101
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Statistical methods for rates and proportions
Fleiss, Joseph L.; Levin, Bruce; Paik, Myunghee Cho - 2003 - 3. ed.
Persistent link: https://www.econbiz.de/10004746290
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Modelling market risk with SAS Risk Dimensions : a step by step implementation
Du Toit, Carl - 2005
Thesis (MComm (Statistics and Actuarial Science))--University of Stellenbosch, 2005. …
Persistent link: https://www.econbiz.de/10009442136
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A unified theory of extreme Expected Shortfall inference
Daouia, Abdelaati; Stupfler, Gilles; Usseglio-Carleve, … - 2024
Persistent link: https://www.econbiz.de/10015097279
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Statistical inference for extreme extremile in heavy-tailed heteroscedastic regression model
Chen, Yu; Ma, Mengyuan; Sun, Hongfang - In: Insurance / Mathematics & economics 111 (2023), pp. 142-162
Persistent link: https://www.econbiz.de/10014317142
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Inference for extremal regression with dependent heavy-tailed data
Daouia, Abdelaati; Stupfler, Gilles; Usseglio-Carleve, … - 2022
Persistent link: https://www.econbiz.de/10013170015
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The nature of scientific evidence : statistical, philosophical, and empirical considerations
Taper, Mark L. (contributor) - 2004
Persistent link: https://www.econbiz.de/10004259637
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Too big to fail : large samples and the p-value problem
Lin, Mingfeng; Lucas, Henry C.; Schmueli, Galit - In: Information systems research : ISR 24 (2013) 4, pp. 906-917
Persistent link: https://www.econbiz.de/10010228297
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Information in digital, economic, and social networks
Sundararajan, Arun; Provost, Foster; Oestreicher-Singer, Gal - In: Information systems research : ISR 24 (2013) 4, pp. 883-905
Persistent link: https://www.econbiz.de/10010228300