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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2021-09, 2021
ISBN 10: 036770997X ISBN 13: 9780367709976
Da: Chiron Media, Wallingford, Regno Unito
EUR 88,73
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Aggiungi al carrelloPaperback. Condizione: Brand New. 368 pages. 9.25x6.18x0.91 inches. In Stock.
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EUR 81,62
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dani Gamerman was Professor of Statistics at UFRJ from 1996 to 2019. He is currently Professor Emeritus at UFRJ since 2021 and Visiting Professor at UFMG since 2019. Director of the Graduate Program in Statistics at UFRJ (1999-2006 and 2.
Da: preigu, Osnabrück, Germania
EUR 106,20
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Building a Platform for Data-Driven Pandemic Prediction | From Data Modelling to Visualisation - The CovidLP Project | Dani Gamerman (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9780367709976 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 126,88
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs.The focus is on the integration of statistics and computing tools rather than on an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities.Features:A general but parsimonious class of models to perform statistical prediction for epidemics, using a Bayesian approachImplementation of automated routines to obtain daily prediction resultsHow to interactively visualize the model resultsStrategies for monitoring the performance of the predictions and identifying potential issues in the resultsDiscusses the many decisions required to develop and publish online platformsSupplemented by an R package and its specific functionalities to model epidemic outbreaksThe book is geared towards practitioners with an interest in the development and presentation of results in an online platform of statistical analysis of epidemiological data.¿The primary audience includes applied statisticians, biostatisticians, computer scientists, epidemiologists, and professionals interested in learning more about epidemic modelling in general, including the COVID-19 pandemic, and platform building.The authors are professors at the Statistics Department at Universidade Federal de Minas Gerais. Their research records exhibit contributions applied to a number of areas of Science, including Epidemiology. Their research activities include books published with Chapman and Hall/CRC and papers in high quality journals. They have also been involved with academic management of graduate programs in Statistics and one of them is currently the President of the Brazilian Statistical Association.¿.