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Found 43 Documents (Results 1–43)

Simulation and inference for stochastic processes with YUIMA. A comprehensive R framework for SDEs and other stochastic processes. (English) Zbl 1458.60004

Use R!. Cham: Springer (ISBN 978-3-319-55567-6/pbk; 978-3-319-55569-0/ebook). xiii, 268 p. (2018).
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Introduction to time series and forecasting. 3rd edition. (English) Zbl 1355.62001

Springer Texts in Statistics. Cham: Springer (ISBN 978-3-319-29852-8/hbk; 978-3-319-29854-2/ebook). xiv, 425 p. (2016).
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Computational finance. An introductory course with R. (English) Zbl 1309.91001

Atlantis Studies in Computational Finance and Financial Engineering 1. Amsterdam: Atlantis Press (ISBN 978-94-6239-069-0/hbk; 978-94-6239-070-6/ebook). x, 301 p. (2014).
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Monte-Carlo methods with R. Translated from the English by Joachim Robert, Robin Ryder, Arbel, Juyan, Pierre Jacob et Brigitte Plessis. (Méthodes de Monte Carlo avec R. Traduit de l’anglais par Joachim Robert, Robin Ryder, Arbel, Juyan, Pierre Jacob et Brigitte Plessis.) (French) Zbl 1216.65003

Pratique R. Paris: Springer (ISBN 978-2-8178-0180-3/pbk). xv, 256 p. (2011).
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Introducing Monte Carlo methods with R. (English) Zbl 1196.65025

Use R!. New York, NY: Springer (ISBN 978-1-4419-1575-7/pbk; 978-1-4419-1576-4/ebook). xix, 283 p. (2010).
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Statistical monitoring of clinical trials. A unified approach. (English) Zbl 1121.62098

Statistics for Biology and Health. New York, NY: Springer (ISBN 0-387-30059-7/hbk). xiii, 258 p. (2006).
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