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dc.contributor.authorBertaccini, Bruno
dc.date.accessioned2025-03-08T02:42:12Z
dc.date.available2025-03-08T02:42:12Z
dc.date.issued2018
dc.date.submitted2022-05-31T10:31:34Z
dc.identifierONIX_20220531_9788864536743_784
dc.identifier2704-5870
dc.identifierhttps://library.oapen.org/handle/20.500.12657/55500
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/176196
dc.description.abstractNowadays, the information transfer speed (on the web, but not only) requires the predisposition of ever more adequate analysis tools for working with data and increasingly faster algorithms, in order to allow the so-called decision maker to make decision based on information which can become obsolete very quickly with time. In the current situation, analysing this information in order to simulate complex decision-making scenarios could prove fundamental to secure an advantage over competitors. This text introduces the true art of Statistical Computing. In other words, it illustrates how computer programming skills in the development of algorithms can be used within Statistics for the virtual simulation and replication of realities and experiments of varying complexity. In order to do so, it uses the excellent development environment “R”.
dc.languageItalian
dc.relation.ispartofseriesStrumenti per la didattica e la ricerca
dc.rightsopen access
dc.titleIntroduzione alla Statistica Computazionale con R
dc.typebook
oapen.identifier.doi10.36253/978-88-6453-674-3
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9788864536743
oapen.relation.isbn9788864536736
oapen.relation.isbn9788892731172
oapen.pages182
oapen.place.publicationFlorence
dc.seriesnumber199
dc.abstractotherlanguageNowadays, the information transfer speed (on the web, but not only) requires the predisposition of ever more adequate analysis tools for working with data and increasingly faster algorithms, in order to allow the so-called decision maker to make decision based on information which can become obsolete very quickly with time. In the current situation, analysing this information in order to simulate complex decision-making scenarios could prove fundamental to secure an advantage over competitors. This text introduces the true art of Statistical Computing. In other words, it illustrates how computer programming skills in the development of algorithms can be used within Statistics for the virtual simulation and replication of realities and experiments of varying complexity. In order to do so, it uses the excellent development environment “R”.


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