Arbeitspapier

Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators

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Language: Englisch

Bibliographic citation: Series: Technical Report ; No. 2008,17

Event: Geistige Schöpfung

(who): Bissantz, Nicolai
Birke, Melanie

Event: Veröffentlichung

(who): Technische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

(where): Dortmund

(when): 2008

Handle: http://hdl.handle.net/10419/36584

Last update: 10.03.2025, 11:44 AM CET

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Arbeitspapier

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Bissantz, Nicolai
Birke, Melanie
Technische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

Time of origin

2008

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Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators

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Other Objects (12)

Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators

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Wild cluster bootstrap confidence intervals

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Confidence Intervals for Recursive Journal Impact Factors

Fusing photovoltaic data for improved confidence intervals

Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators

Construction of Confidence Intervals

Wild cluster bootstrap confidence intervals

Frequentist and Bayesian confidence intervals

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Confidence Intervals for Recursive Journal Impact Factors

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Construction of Confidence Intervals

Wild cluster bootstrap confidence intervals

Frequentist and Bayesian confidence intervals

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