LEADER 01097nam a2200253 i 4500 001 991002909259707536 005 20021022143931.0 008 960610s1977 it ||| | ita 035 $ab11726891-39ule_inst 035 $aLE021FD222714$9ExL 040 $aDip. SSSC$bita 100 1 $aCentro di studi sul teatro medioevale e rinascimentale$0529479 245 13$aIl contributo dei giullari alla drammaturgia italiana delle origini :$batti del II Convegno di Studio, Viterbo, 17-19 giugno 1977 /$cCentro di studi sul teatro medioevale e rinascimentale 260 $c1977 300 $a342 p., [17] p. di tav. ;$c24 cm. 650 4$aAtti di congressi e convegni$xTeatro$zItalia 650 4$aDrammaturgia 650 4$aGiullari 907 $a.b11726891$b21-09-06$c24-10-02 912 $a991002909259707536 945 $aLE021FD TI18C24$g1$iLE021FD-2635$lle023$nFondo D'Amico$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i11966841$z24-10-02 996 $aContributo dei giullari alla drammaturgia italiana delle origini$9904318 997 $aUNISALENTO 998 $ale021$b10-06-96$cm$da $e-$fita$git $h3$i1 LEADER 03514nam 22006375 450 001 9910299777703321 005 20250609110123.0 010 $a3-319-18329-X 024 7 $a10.1007/978-3-319-18329-9 035 $a(CKB)3710000000433982 035 $a(EBL)2096108 035 $a(SSID)ssj0001525115 035 $a(PQKBManifestationID)11900759 035 $a(PQKBTitleCode)TC0001525115 035 $a(PQKBWorkID)11484967 035 $a(PQKB)11451621 035 $a(DE-He213)978-3-319-18329-9 035 $a(MiAaPQ)EBC2096108 035 $a(PPN)186398832 035 $a(MiAaPQ)EBC6235632 035 $a(EXLCZ)993710000000433982 100 $a20150609d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStable Convergence and Stable Limit Theorems /$fby Erich Häusler, Harald Luschgy 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (231 p.) 225 1 $aProbability Theory and Stochastic Modelling,$x2199-3149 ;$v74 300 $aDescription based upon print version of record. 311 08$a3-319-18328-1 320 $aIncludes bibliographical references and index. 327 $aPreface -- 1.Weak Convergence of Markov Kernels -- 2.Stable Convergence -- 3.Applications -- 4.Stability of Limit Theorems -- 5.Stable Martingale Central Limit Theorems -- 6.Stable Functional Martingale Central Limit Theorems -- 7.A Stable Limit Theorem with Exponential Rate -- 8.Autoregression of Order One -- 9.Branching Processes -- A. Appendix -- B. Appendix -- Bibliography. 330 $aThe authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept. Stable convergence holds in many limit theorems of probability theory and statistics ? such as the classical central limit theorem ? which are usually formulated in terms of convergence in distribution. Originated by Alfred Rényi, the notion of stable convergence is stronger than the classical weak convergence of probability measures. A variety of methods is described which can be used to establish this stronger stable convergence in many limit theorems which were originally formulated only in terms of weak convergence. Naturally, these stronger limit theorems have new and stronger consequences which should not be missed by neglecting the notion of stable convergence. The presentation will be accessible to researchers and advanced students atthe master's level with a solid knowledge of measure theoretic probability. 410 0$aProbability Theory and Stochastic Modelling,$x2199-3149 ;$v74 606 $aProbabilities 606 $aStatistics 606 $aProbability Theory 606 $aStatistical Theory and Methods 615 0$aProbabilities. 615 0$aStatistics. 615 14$aProbability Theory. 615 24$aStatistical Theory and Methods. 676 $a519.2 700 $aHäusler$b Erich$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755602 702 $aLuschgy$b Harald$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299777703321 996 $aStable Convergence and Stable Limit Theorems$92536875 997 $aUNINA