LEADER 02006nam 2200385 450 001 9910774838003321 005 20230222105411.0 035 $a(CKB)5310000000010078 035 $a(NjHacI)995310000000010078 035 $a(EXLCZ)995310000000010078 100 $a20230222d2018 uy 0 101 0 $aita 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduzione alla Statistica Computazionale con R. /$fBruno Bertaccini 210 1$aFirenze, Italy :$cFirenze University Press,$d2018. 215 $a1 online resource (viii, 172 pages) 225 1 $aStrumenti per la didattica e la ricerca 311 $a88-6453-674-4 330 $aNowadays, the information transfer speed (on the web, but not only) requires the predisposition of ever more adequate analysis tools for working with data and increasingly faster algorithms, in order to allow the so-called decision maker to make decision based on information which can become obsolete very quickly with time. In the current situation, analysing this information in order to simulate complex decision-making scenarios could prove fundamental to secure an advantage over competitors. This text introduces the true art of Statistical Computing. In other words, it illustrates how computer programming skills in the development of algorithms can be used within Statistics for the virtual simulation and replication of realities and experiments of varying complexity. In order to do so, it uses the excellent development environment "R". 410 0$aStrumenti per la didattica e la ricerca. 606 $aStatistics 606 $aProbability measures 615 0$aStatistics. 615 0$aProbability measures. 676 $a510 700 $aBertaccini$b Bruno$0434293 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910774838003321 996 $aIntroduzione alla Statistica Computazionale con R$93017984 997 $aUNINA