LEADER 01040nam0-2200253 --450 001 9910252856503321 005 20180206110622.0 100 $a20180206d1946----km y0itay50 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $aCarichi da considerare nel calcolo dei ponti per strade ordinarie$ecircolari n. 6018 del 9 giugno 1945 e n. 772 del 12 giugno 1946$fMinistero dei lavori pubblici, Direzione generale dei servizi tecnici e consiglio superiore 210 $aRoma$cLa libreria dello Stato$d1946 215 $a8 p., c. tav.$d21 cm 610 0 $aIngegneria civile$aLegislazione$aItalia 710 01$aItalia.$bMinistero dei lavori pubblici.$bDirezione generale dei servizi tecnici 711 01$aItalia.$bMinistero dei lavori pubblici.$bConsiglio superiore$0285513 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910252856503321 952 $aBB 386$b2385 $f DINED 959 $aDINED 996 $aCarichi da considerare nel calcolo dei ponti per strade ordinarie$91504151 997 $aUNINA LEADER 05501nam 2200697 450 001 9910130868703321 005 20230725053034.0 010 $a1-283-40560-1 010 $a9786613405609 010 $a1-119-99841-7 010 $a1-119-99586-8 010 $a1-119-99578-7 035 $a(CKB)3460000000003354 035 $a(EBL)699360 035 $a(OCoLC)794326221 035 $a(SSID)ssj0000507336 035 $a(PQKBManifestationID)11344051 035 $a(PQKBTitleCode)TC0000507336 035 $a(PQKBWorkID)10546443 035 $a(PQKB)11769543 035 $a(MiAaPQ)EBC699360 035 $a(EXLCZ)993460000000003354 100 $a20160513h20112011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDirichlet and related distributions $etheory, methods and applications /$fKai Wang Ng, Guo-Liang Tian, Man-Lai Tang 210 1$aChichester, England :$cWiley,$d2011. 210 4$dİ2011 215 $a1 online resource (338 p.) 225 1 $aWiley Series in Probability and Statistics 300 $aDescription based upon print version of record. 311 $a0-470-68819-X 320 $aIncludes bibliographical references and indexes. 327 $aDirichlet and Related Distributions: Theory, Methods and Applications; Contents; Preface; Acknowledgments; List of abbreviations; List of symbols; List of figures; List of tables; 1 Introduction; 1.1 Motivating examples; 1.2 Stochastic representation and the d= operator; 1.2.1 Definition of stochastic representation; 1.2.2 More properties on the d = operator; 1.3 Beta and inverted beta distributions; 1.4 Some useful identities and integral formulae; 1.4.1 Partial-fraction expansion; 1.4.2 Cambanis-Keener-Simons integral formulae; 1.4.3 Hermite-Genocchi integral formula 327 $a1.5 The Newton-Raphson algorithm1.6 Likelihood in missing-data problems; 1.6.1 Missing-data mechanism; 1.6.2 The expectation-maximization (EM) algorithm; 1.6.3 The expectation/conditional maximization (ECM) algorithm; 1.6.4 The EM gradient algorithm; 1.7 Bayesian MDPs and inversion of Bayes' formula; 1.7.1 The data augmentation (DA) algorithm; 1.7.2 True nature of Bayesian MDP: inversion of Bayes' formula; 1.7.3 Explicit solution to the DA integral equation; 1.7.4 Sampling issues in Bayesian MDPs; 1.8 Basic statistical distributions; 1.8.1 Discrete distributions 327 $a1.8.2 Continuous distributions2 Dirichlet distribution; 2.1 Definition and basic properties; 2.1.1 Density function and moments; 2.1.2 Stochastic representations and mode; 2.2 Marginal and conditional distributions; 2.3 Survival function and cumulative distribution function; 2.3.1 Survival function; 2.3.2 Cumulative distribution function; 2.4 Characteristic functions; 2.4.1 The characteristic function of u ~ U(Tn); 2.4.2 The characteristic function of v ~ U(Tn); 2.4.3 The characteristic function of a Dirichlet random vector; 2.5 Distribution for linear function of a Dirichlet random vector 327 $a2.5.1 Density for linear function of v ~ U(Vn)2.5.2 Density for linear function of u ~ U(Tn); 2.5.3 A unified approach to linear functions of variables and order statistics; 2.5.4 Cumulative distribution function for linear function of a Dirichlet random vector; 2.6 Characterizations; 2.6.1 Mosimann's characterization; 2.6.2 Darroch and Ratcliff's characterization; 2.6.3 Characterization through neutrality; 2.6.4 Characterization through complete neutrality; 2.6.5 Characterization through global and local parameter independence; 2.7 MLEs of the Dirichlet parameters 327 $a2.7.1 MLE via the Newton-Raphson algorithm2.7.2 MLE via the EM gradient algorithm; 2.7.3 Analyzing serum-protein data of Pekin ducklings; 2.8 Generalized method of moments estimation; 2.8.1 Method of moments estimation; 2.8.2 Generalized method of moments estimation; 2.9 Estimation based on linear models; 2.9.1 Preliminaries; 2.9.2 Estimation based on individual linear models; 2.9.3 Estimation based on the overall linear model; 2.10 Application in estimating ROC area; 2.10.1 The ROC curve; 2.10.2 The ROC area; 2.10.3 Computing the posterior density of the ROC area 327 $a2.10.4 Analyzing the mammogram data of breast cancer 330 $aThe Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the in 410 0$aWiley series in probability and statistics. 606 $aDistribution (Probability theory) 606 $aDirichlet problem 615 0$aDistribution (Probability theory) 615 0$aDirichlet problem. 676 $a515.782 676 $a519.2/4 686 $aMAT029000$2bisacsh 700 $aNg$b Kai Wang$0102773 702 $aTian$b Guo-Liang 702 $aTang$b Man-Lai 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910130868703321 996 $aDirichlet and related distributions$92239880 997 $aUNINA LEADER 01476nam 2200397 450 001 9910706994603321 005 20180424064006.0 035 $a(CKB)5470000002459527 035 $a(OCoLC)1030876716 035 $a(EXLCZ)995470000002459527 100 $a20180409d2016 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUnited States Marine Corps in the First World War $eanthology, selected bibliography, and annotated order of battle /$fAnnette D. Amerman 210 1$aQuantico, VA :$cHistory Division, United States Marine Corps,$d2016. 215 $a1 online resource (xiv, 304 pages) $cillustrations, maps 225 1 $aU.S. Marines in World War I centennial commemorative series ;$vno. 2 320 $aIncludes bibliographical references (pages 259-264) and index. 517 $aUnited States Marine Corps in the First World War 606 $aWorld War, 1914-1918$zUnited States 606 $aWorld War, 1914-1918$vBibliography 608 $aBibliographies.$2lcgft 615 0$aWorld War, 1914-1918 615 0$aWorld War, 1914-1918 676 $a940.4/5973 700 $aAmerman$b Annette D.$01395068 712 02$aMarine Corps University (U.S.).$bHistory Division, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910706994603321 996 $aUnited States Marine Corps in the First World War$93488087 997 $aUNINA