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Webel, Karsten [Author]

Abgabenordnung

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Herne, Westf: NWB Verlag, [2014]

Published in: Recht verstehen- NWB Ausbildung
Webel, Karsten [Author]

Steuerfahndung - Steuerstrafverteidigung : [Steuerhinterziehung, Selbstanzeige, Steuerstrafverfahren, Durchsuchung, Beschlagnahme, Arrest, Verhaftung] - [2. Aufl.]

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Herne, Westf.: NWB, 2014
Webel, Karsten [Author]

Zivilrecht / Bd. 1, Allgemeiner Teil, Schuldrecht / von Karsten Webel

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Herne: NWB, 2011

Published in: Zivilrecht / Karsten Webel ; 1
Webel, Karsten [Author]

Intermittierendes deterministisches Chaos als mögliche Erklärung für ein langes Gedächtnis in Finanzmarktdaten - [1. Aufl.]

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Wiesbaden: Gabler, 2009

Published in: Gabler Edition Wissenschaft
Webel, Karsten [Author]

Zivilrecht / Bd. 2, Sachrecht, Familienrecht, Erbrecht / von Karsten Webel

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Herne: NWB, 2010

Published in: Zivilrecht / Karsten Webel ; 2
Webel, Karsten [Author]

Betäubungsmittelstrafrecht : Leitfaden für Studium und polizeiliche Praxis

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Hilden: Verl. Dt. Polizeiliteratur, 2003
Webel, Karsten [Author]

Strafbarkeit leicht fahrlässigen Verhaltens? : Zugleich ein Beitrag zur Strafbarkeit von corporate agents nach dem Strafrecht der USA - [1. Aufl.]

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Baden-Baden: Nomos-Verl.-Ges., 1999

Published in: Kieler Schriften zum Strafrecht ; 2000
Webel, Karsten [Author]

Zivilrecht : [Online-Version inklusive!]

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Herne: NWB, 20XX-

Published in: Basiswissen Steuer und Studium- NWB Studium
Döding, Horst [Author]; Webel, Karsten [Author]

Musterklausuren Staats- und Verfassungsrecht : Lernhilfen mit Klausuren und Lösungen - [2. Aufl.]

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Hilden/Rhld.: Verl. Dt. Polizeiliteratur, 2002
Döding, Horst [Author]; Webel, Karsten [Author]

Musterklausuren Staats- und Verfassungsrecht : Lernhilfen mit Klausuren und Lösungen

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Hilden/Rhld.: Verl. Dt. Polizeiliteratur, 1997
Webel, Karsten [Author]

A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series

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https://www.bundesbank.de/resource/blob/892512/5eb1bc37738d249c32599abefec32065/mL/2022-08-11-dkp-31-data.pdf

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Frankfurt am Main: Deutsche Bundesbank, [2022]

Published in: Deutsche Bundesbank: Discussion paper ; 2022,31
Webel, Karsten [Author]

A Review of Some Recent Developments in the Modelling and Seasonal Adjustment of Infra-Monthly Time Series

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https://ssrn.com/abstract=4201921

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[S.l.]: SSRN, 2022

Published in: Deutsche Bundesbank Discussion Paper ; No. 31/2022
Webel, Karsten [Author]

A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series

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http://hdl.handle.net/10419/262727

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Frankfurt a. M.: Deutsche Bundesbank, 2022
Webel, Karsten [Author]

A Data-Driven Selection of an Appropriate Seasonal Adjustment Approach

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[S.l.]: SSRN, [2016]

Published in: Bundesbank Discussion Paper ; No. 07/2016
Webel, Karsten [Author]

A data-driven selection of an appropriate seasonal adjustment approach

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https://www.bundesbank.de/resource/blob/703996/7684d2cc7b4f5c2ab6d1a1d5c30788be/mL/2016-04-19-dkp-07-data.pdf

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Frankfurt am Main: Deutsche Bundesbank, [2016]

Published in: Deutsche Bundesbank: Discussion paper ; 20160007
Webel, Karsten [Author]

A data-driven selection of an appropriate seasonal adjustment approach

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http://hdl.handle.net/10419/130561

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Frankfurt a. M.: Deutsche Bundesbank, 2016
Webel, Karsten [Author] ; Wied, Dominik [Other]

Stochastische Prozesse : Eine Einführung für Statistiker und Datenwissenschaftler - [2. Aufl. 2016]

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Wiesbaden: Springer Gabler, 2016

Published in: SpringerLink ; Bücher
Webel, Karsten [Author]; Smyk, Anna [Author]

Towards seasonal adjustment of infra-monthly time series with JDemetra+

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https://www.bundesbank.de/resource/blob/915460/e0c29d7a79c28c3b48cdc0b07f1e3a64/mL/2023-09-04-dkp-24-data.pdf

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Frankfurt am Main: Deutsche Bundesbank, [2023]

Published in: Deutsche Bundesbank: Discussion paper ; 2023,24
Webel, Karsten [Author]; Smyk, Anna [Author]

Towards seasonal adjustment of infra-monthly time series with JDemetra+

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http://hdl.handle.net/10419/276234

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Frankfurt a. M.: Deutsche Bundesbank, 2023
Ollech, Daniel [Author]; Webel, Karsten [Author]

A Random Forest-Based Approach to Identifying the Most Informative Seasonality Tests

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https://ssrn.com/abstract=3721055

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[S.l.]: SSRN, [2021]

Published in: Deutsche Bundesbank Discussion Paper ; No. 55/2020

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