LEADER 01496nam 2200421 n 450 001 996384013503316 005 20221108094437.0 035 $a(CKB)1000000000584935 035 $a(EEBO)2248516630 035 $a(UnM)99859495 035 $a(EXLCZ)991000000000584935 100 $a19850219d1648 uh | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe Kings Majesties answer to the paper delivered in by the reverend divines attending the honourable commissioners concerning church-government. Published by authority$b[electronic resource] 210 $aLondon $cPrinted by E. Griffin, for T. Hewer$d12 October. 1648 215 $a[2], 14 p 300 $aWith royal coat of arms on title page. 300 $aDated at end: Newport, Octob. 6. 1648. 300 $aPage 4 misnumbered "5". 300 $aReproduction of the original in the National Library of Scotland. 330 $aeebo-0158 606 $aChurch polity$vEarly works to 1800 606 $aEpiscopacy$vEarly works to 1800 607 $aGreat Britain$xChurch history$y17th century$vEarly works to 1800 615 0$aChurch polity 615 0$aEpiscopacy 701 $aCharles$cKing of England,$f1600-1649.$0793295 712 12$aWestminster Assembly$f(1643-1652) 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bCu-RivES 801 2$bWaOLN 906 $aBOOK 912 $a996384013503316 996 $aThe Kings Majesties answer$92398431 997 $aUNISA LEADER 03709nam 22007815 450 001 9910897979603321 005 20260121125437.0 010 $a9783031631900 010 $a3031631900 024 7 $a10.1007/978-3-031-63190-0 035 $a(CKB)36383529900041 035 $a(DE-He213)978-3-031-63190-0 035 $a(MiAaPQ)EBC31733027 035 $a(Au-PeEL)EBL31733027 035 $a(EXLCZ)9936383529900041 100 $a20241019d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbability Theory I $eRandom Variables and Distributions /$fby Andrea Pascucci 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (XXI, 382 p. 24 illus., 16 illus. in color.) 225 1 $aLa Matematica per il 3+2,$x2038-5757 ;$v165 311 08$a9783031631894 311 08$a3031631897 320 $aIncludes bibliographical references and index. 327 $a1 Measures and probability spaces -- 2 Random variables -- 3 Sequences of random variables -- 4 Conditional probability -- 5 Summary exercises -- Appendix A: Dynkin?s theorems -- Appencix B: Absolute continuity -- Appendix C: Uniform integrability. 330 $aThis book provides a concise yet rigorous introduction to probability theory. Among the possible approaches to the subject, the most modern approach based on measure theory has been chosen: although it requires a higher degree of mathematical abstraction and sophistication, it is essential to provide the foundations for the study of more advanced topics such as stochastic processes, stochastic differential calculus and statistical inference. The text originated from the teaching experience in probability and applied mathematics courses within the mathematics degree program at the University of Bologna; it is suitable for second- or third-year students in mathematics, physics, or other natural sciences, assuming multidimensional differential and integral calculus as a prerequisite. The four chapters cover the following topics: measures and probability spaces; random variables; sequences of random variables and limit theorems; and expectation and conditional distribution. The text includes a collection of solved exercises. 410 0$aLa Matematica per il 3+2,$x2038-5757 ;$v165 606 $aStochastic processes 606 $aMathematical physics 606 $aProbabilities 606 $aEconometrics 606 $aMathematics 606 $aStochastic Processes 606 $aTheoretical, Mathematical and Computational Physics 606 $aProbability Theory 606 $aQuantitative Economics 606 $aMathematics 606 $aProbabilitats$2thub 606 $aProcessos estocāstics$2thub 606 $aXarxes neuronals (Informātica)$2thub 608 $aLlibres electrōnics$2thub 615 0$aStochastic processes. 615 0$aMathematical physics. 615 0$aProbabilities. 615 0$aEconometrics. 615 0$aMathematics. 615 14$aStochastic Processes. 615 24$aTheoretical, Mathematical and Computational Physics. 615 24$aProbability Theory. 615 24$aQuantitative Economics. 615 24$aMathematics. 615 7$aProbabilitats 615 7$aProcessos estocāstics 615 7$aXarxes neuronals (Informātica) 676 $a519.2 700 $aPascucci$b Andrea$0475297 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910897979603321 996 $aProbability Theory I$94215128 997 $aUNINA