Gregori dario (15 resultados)

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Postkarte. Condición: Gut. Postkarte von Dario Fontanella-Gregori bildseitig mit schwarzem Kuli signiert, umseitig mit eigenhändigem Zusatz "Mannheim 11.IV.2025" /// Autogramm Autograph signiert signed signee /// Dario Fontanella-Gregori (* 7. Januar 1952 in Mannheim) ist ein italienischer Speiseeishersteller in Mannheim und bezeichnet sich als Erfinder des Spaghettieises (1969). Leben Seine Familie stammt aus einer Eiskonditorenfamilie aus dem Val di Zoldo in den Dolomiten. Der Großvater besaß seit 1906 eine Gelateria. Der Vater ging 1931 nach Hannover, um bei einem Onkel im Eiscafé zu arbeiten. Auf seinen Reisen kam er nach Mannheim, wo er am 18. April 1933 seine erste Eisdiele in den Planken, der bekannten Einkaufsstraße, eröffnete.[1] Dario Fontanella wuchs bei einer Tante in Conegliano auf, seine Ferien verbrachte er bei seinen Eltern in Mannheim. Heute führt Dario Fontanella vier Cafés mit bis zu 60 Mitarbeitern in Mannheim und beliefert Restaurants und Supermärkte mit seinem Eis. In seiner Manufaktur kann er etwa eine Tonne Eis pro Tag herstellen. Dario Fontanella wurde 2014 der Bloomaulorden verliehen, der als höchste bürgerschaftliche Auszeichnung Mannheims gilt.[2] Zum Ökumenischen Kirchentag Mannheim kreierte er 2017 ein ?Ökumene-Eis?, ein Milcheis mit gerösteten Brioche-Stückchen gemischt mit einem Sorbeteis aus Rieslingtrauben.[3] Sein Spaghettieis hat er nie patentieren lassen. In den Medien ist er regelmäßig präsent. Die Sendung Galileo auf ProSieben machte in drei Folgen Fontanella zum Thema, die stets zum Sommer gesendet wurden.[4][5][6] In Deutschland waren von 2008 bis 2014 Speiseeishersteller und von 2014 bis 2019 Fachkraft für Speiseeis anerkannte Ausbildungsberufe, in denen Fontanella seit 2008 in seinen Betrieben ausbildete.[7] /// Standort Wimregal GAD-0541 Sprache: Deutsch Gewicht in Gramm: 10.…

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Hardback. Condición: New. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. …

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Condición: As New. Unread book in perfect condition.

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Hardcover. Condición: Brand New. 356 pages. 9.25x6.10x9.21 inches. In Stock.

Hardback. Condición: New. This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and methodologies of both Bayesian and Frequentist statistical approaches, providing a detailed exploration of how these methods are applied to the analysis and interpretation of infectious disease data.The book offers practical guidance on the application of these methods in real-life studies, both for surveillance and research purposes. It highlights the strengths and limitations of each approach and showcases how they can be effectively utilized in various scenarios. A set of R instructions and data examples to reproduce the analyses are provided. Among the topics covered are:Generalized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Independent DataMachine Learning Models for Probabilistic Inference and PredictionGeneralized Linear Models in Infectious Disease Analysis and Surveillance: Methods for Correlated DataResiduals and Overdispersion in Generalized Linear ModelsInterrupted Time Series Model in Infectious Disease Research and SurveillanceGeneralized Linear Models with Missing DataThis topic is of particular importance to the field at this time due to the increasing need for accurate analysis and interpretation of infectious disease data, which is crucial for effective decision-making and policy formulation.Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis is primarily intended for public health professionals in local, national or international agencies; researchers and academics; students; and veterinary and one-health specialists. These readers would find this book valuable for its in-depth analysis, practical guidance, and the critical insights it provides into the application of statistical methods in the ever-evolving field of infectious disease surveillance. …

Hardcover. Condición: Brand New. 356 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

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