000753525 000__ 03809cam\a2200529Ii\4500 000753525 001__ 753525 000753525 005__ 20230306141602.0 000753525 006__ m\\\\\o\\d\\\\\\\\ 000753525 007__ cr\cn\nnnunnun 000753525 008__ 160129s2016\\\\sz\a\\\\ob\\\\001\0\eng\d 000753525 019__ $$a936412771 000753525 020__ $$a9783319072548$$q(electronic book) 000753525 020__ $$a3319072544$$q(electronic book) 000753525 020__ $$z9783319072531 000753525 020__ $$z3319072536 000753525 0247_ $$a10.1007/978-3-319-07254-8$$2doi 000753525 035__ $$aSP(OCoLC)ocn936204140 000753525 035__ $$aSP(OCoLC)936204140$$z(OCoLC)936412771 000753525 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dAZU$$dYDXCP$$dOCLCF 000753525 0411_ $$aeng$$hita 000753525 049__ $$aISEA 000753525 050_4 $$aQA273 000753525 08204 $$a519.2$$223 000753525 1001_ $$aBiagini, Francesca,$$eauthor. 000753525 24010 $$aElementi de probabilità e statistica.$$lEnglish 000753525 24510 $$aElements of probability and statistics$$h[electronic resource] :$$ban introduction to probability with de Finetti's approach and to Bayesian statistics /$$cFrancesca Biagini, Massimo Campanino. 000753525 264_1 $$aCham :$$bSpringer,$$c2016. 000753525 300__ $$a1 online resource (xv, 246 pages) :$$billustrations. 000753525 336__ $$atext$$btxt$$2rdacontent 000753525 337__ $$acomputer$$bc$$2rdamedia 000753525 338__ $$aonline resource$$bcr$$2rdacarrier 000753525 4901_ $$aUNITEXT,$$x2038-5714 ;$$vvolume 98 000753525 504__ $$aIncludes bibliographical references and index. 000753525 5050_ $$a1 Random numbers -- 2 Discrete distributions -- 3 One-dimensional absolutely continuous distributions -- 4 Multi-dimensional absolutely continuous distributions -- 5 Convergence of distributions -- 6 Discrete time Markov chains -- 7 Continuous time Markov chains -- 8 Statistics -- 9 Combinatorics -- 10 Discrete distributions -- 11 One-dimensional absolutely continuous distributions -- 12 Absolutely continuous and multivariate distributions -- 13 Markov chains -- 14 Statistics -- 15 Elements of combinatorics -- 16 Relations between discrete and absolutely continuous distributions -- 17 Some discrete distributions -- 18 Some one-dimensional absolutely continuous distributions -- 19 The normal distribution -- 20 Stirling's formula -- 21 Elements of analysis -- 22 Bidimensional integrals. 000753525 506__ $$aAccess limited to authorized users. 000753525 520__ $$aThis book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space - a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate - but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics. 000753525 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 29, 2016). 000753525 650_0 $$aProbabilities. 000753525 650_0 $$aMathematical statistics. 000753525 7001_ $$aCampanino, Massimo,$$eauthor. 000753525 7300_ $$itranslation of (work)$$aElementi de probabilità e statistica. 000753525 77608 $$iPrint version:$$z9783319072531$$z3319072536$$w(OCoLC)898529101 000753525 830_0 $$aUnitext ;$$vv.98. 000753525 852__ $$bebk 000753525 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-07254-8$$zOnline Access$$91397441.1 000753525 909CO $$ooai:library.usi.edu:753525$$pGLOBAL_SET 000753525 980__ $$aEBOOK 000753525 980__ $$aBIB 000753525 982__ $$aEbook 000753525 983__ $$aOnline 000753525 994__ $$a92$$bISE