LEADER 00957nam0-22002771i-450- 001 990001674930403321 005 20050927094919.0 035 $a000167493 035 $aFED01000167493 035 $a(Aleph)000167493FED01 035 $a000167493 100 $a20030910d1883----km-y0itay50------ba 101 0 $aita 200 1 $aDecreto e regolamento per le visite delle ispettrici governative agli educatori ed altri istituti femminili - 4 gennaio 1883 - n. 1224$fItalia 210 $aTorino$cStamp. Gazzetta del Popolo$d1883 215 $a8 p.$d16 cm 610 0 $aLegislazione scolastica 676 $a344.07 710 01$aItalia$0423419 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001674930403321 952 $a60 340 C 32$b4320$fFAGBC 959 $aFAGBC 996 $aDecreto e regolamento per le visite delle ispettrici governative agli educatori ed altri istituti femminili - 4 gennaio 1883 - n. 1224$9370664 997 $aUNINA LEADER 01066nam0 22002651i 450 001 SUN0047693 005 20060713120000.0 010 $a07-923340-7-8 100 $a20060713d1995 |0engc50 ba 101 $aeng 102 $aNL 105 $a|||| ||||| 200 1 $aComputational geomechanics$fArnold Verruijt 210 $aDordrecht$cKluwer$d1995 215 $aVIII, 383 p.$cill.$d25 cm$e1 floppy disk. 410 1$1001SUN0045251$12001 $aTheory and applications of transport in porous media$v7$1210 $aDordrecht$cKluwer. 620 $aNL$dDordrecht$3SUNL000068 700 1$aVerruijt$b, Arnold$3SUNV037913$0441065 712 $aKluwer$3SUNV000231$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0047693 950 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA$d05 CONS G IV 053 $e05 1118 995 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA$bIT-CE0100$h1118$kCONS G IV 053$oc$qa 996 $aComputational geomechanics$91426752 997 $aUNICAMPANIA LEADER 01063nam a2200253 i 4500 001 991004360737307536 005 20250113092803.0 008 250113s1946 fr er 001 0 fre d 040 $aBibl. Dip.le Aggr. Studi Umanistici - Sez. Filosofia$bita$cSocioculturale Scs 041 1 $afre$hger 082 04$a193$223 100 1 $aDilthey, Wilhelm$033995 240 10$aWeltanschauungslehre : Abhandlungen zur Philosophie der Philosophie$94307526 245 10$aThéorie des conceptions du monde :$bessai d'une philosophie de la philosophie /$cpar Wilhelm Dilthey ; traduit par Louis Sauzin 260 $aParis :$bPresses universitaire de France,$c1946 300 $a329 p. ;$c22 cm 490 1 $aBibliothèque de philosophie contemporaine 650 4$aStoricismo$xFilosofia tedesca$ySec. 19. 650 4$aScienze umane$xTeorie$ySec. 19. 700 1 $aSauzin, Louis 830 0$aBibliothèque de philosophie contemporaine 912 $a991004360737307536 996 $aWeltanschauungslehre : Abhandlungen zur Philosophie der Philosophie$94307526 997 $aUNISALENTO LEADER 05565nam 22006734a 450 001 9911019170403321 005 20200520144314.0 010 $a9786610649952 010 $a9781280649950 010 $a128064995X 010 $a9780470863077 010 $a0470863072 010 $a9780470863084 010 $a0470863080 035 $a(CKB)1000000000356051 035 $a(EBL)274402 035 $a(SSID)ssj0000263915 035 $a(PQKBManifestationID)11192364 035 $a(PQKBTitleCode)TC0000263915 035 $a(PQKBWorkID)10283144 035 $a(PQKB)11168849 035 $a(MiAaPQ)EBC274402 035 $a(OCoLC)85820898 035 $a(Perlego)2787943 035 $a(EXLCZ)991000000000356051 100 $a20051116d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUncertainty analysis with high dimensional dependence modelling /$fDorota Kurowicka and Roger Cooke 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2006 215 $a1 online resource (308 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 08$a9780470863060 311 08$a0470863064 320 $aIncludes bibliographical references (p. [273]-279) and index. 327 $aUncertainty Analysis with High Dimensional Dependence Modelling; Contents; Preface; 1 Introduction; 1.1 Wags and Bogsats; 1.2 Uncertainty analysis and decision support: a recent example; 1.3 Outline of the book; 2 Assessing Uncertainty on Model Input; 2.1 Introduction; 2.2 Structured expert judgment in outline; 2.3 Assessing distributions of continuous univariate uncertain quantities; 2.4 Assessing dependencies; 2.5 Unicorn; 2.6 Unicorn projects; 3 Bivariate Dependence; 3.1 Introduction; 3.2 Measures of dependence; 3.2.1 Product moment correlation; 3.2.2 Rank correlation; 3.2.3 Kendall's tau 327 $a3.3 Partial, conditional and multiple correlations3.4 Copulae; 3.4.1 Fr ?echet copula; 3.4.2 Diagonal band copula; 3.4.3 Generalized diagonal band copula; 3.4.4 Elliptical copula; 3.4.5 Archimedean copulae; 3.4.6 Minimum information copula; 3.4.7 Comparison of copulae; 3.5 Bivariate normal distribution; 3.5.1 Basic properties; 3.6 Multivariate extensions; 3.6.1 Multivariate dependence measures; 3.6.2 Multivariate copulae; 3.6.3 Multivariate normal distribution; 3.7 Conclusions; 3.8 Unicorn projects; 3.9 Exercises; 3.10 Supplement; 4 High-dimensional Dependence Modelling; 4.1 Introduction 327 $a4.2 Joint normal transform4.3 Dependence trees; 4.3.1 Trees; 4.3.2 Dependence trees with copulae; 4.3.3 Example: Investment; 4.4 Dependence vines; 4.4.1 Vines; 4.4.2 Bivariate- and copula-vine specifications; 4.4.3 Example: Investment continued; 4.4.4 Partial correlation vines; 4.4.5 Normal vines; 4.4.6 Relationship between conditional rank and partial correlations on a regular vine; 4.5 Vines and positive definiteness; 4.5.1 Checking positive definiteness; 4.5.2 Repairing violations of positive definiteness; 4.5.3 The completion problem; 4.6 Conclusions; 4.7 Unicorn projects; 4.8 Exercises 327 $a4.9 Supplement4.9.1 Proofs; 4.9.2 Results for Section 4.4.6; 4.9.3 Example of fourvariate correlation matrices; 4.9.4 Results for Section 4.5.2; 5 Other Graphical Models; 5.1 Introduction; 5.2 Bayesian belief nets; 5.2.1 Discrete bbn's; 5.2.2 Continuous bbn's; 5.3 Independence graphs; 5.4 Model inference; 5.4.1 Inference for bbn's; 5.4.2 Inference for independence graphs; 5.4.3 Inference for vines; 5.5 Conclusions; 5.6 Unicorn projects; 5.7 Supplement; 6 Sampling Methods; 6.1 Introduction; 6.2 (Pseudo-) random sampling; 6.3 Reduced variance sampling; 6.3.1 Quasi-random sampling 327 $a6.3.2 Stratified sampling6.3.3 Latin hypercube sampling; 6.4 Sampling trees, vines and continuous bbn's; 6.4.1 Sampling a tree; 6.4.2 Sampling a regular vine; 6.4.3 Density approach to sampling regular vine; 6.4.4 Sampling a continuous bbn; 6.5 Conclusions; 6.6 Unicorn projects; 6.7 Exercise; 7 Visualization; 7.1 Introduction; 7.2 A simple problem; 7.3 Tornado graphs; 7.4 Radar graphs; 7.5 Scatter plots, matrix and overlay scatter plots; 7.6 Cobweb plots; 7.7 Cobweb plots local sensitivity: dike ring reliability; 7.8 Radar plots for importance; internal dosimetry; 7.9 Conclusions 327 $a7.10 Unicorn projects 330 $aMathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are among t 410 0$aWiley series in probability and statistics. 606 $aUncertainty (Information theory)$xMathematics 615 0$aUncertainty (Information theory)$xMathematics. 676 $a003/.54 700 $aKurowicka$b Dorota$f1967-$0474601 701 $aCooke$b Roger$f1942-$0731611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019170403321 996 $aUncertainty analysis with high dimensional dependence modelling$91441399 997 $aUNINA