LEADER 02615nam0-2200349 --450 001 9910546695103321 005 20220311105134.0 010 $a978-88-459-3363-9 020 $aIT$b2019-9287 100 $a20220311d2019----kmuy0itay5050 ba 101 1 $aita$cfre 102 $aIT 105 $ay 001yy 200 1 $aHomo aequalis$fLouis Dumont$gtraduzione di Guido Viale e Marina Valensise 210 $aMilano$cAdelphi$d2019 215 $a642 p.$d22 cm 225 1 $aSaggi. Nuova serie$v82 320 $aContiene bibl. (pp. 603-622) 327 $a1.:Genesi e trionfo dell'ideologia economica$a2.: L'ideologia tedesca 330 $aCi sono alcune idee portanti della civiltà occidentale che ci appaiono del tutto ovvie e naturali. Ma, se le osserviamo da vicino e nel contesto delle altre civiltà, scopriamo che esse hanno addirittura un carattere eccezionale ed eccentrico. Due fra queste idee sono indicate dai termini individuo ed eguaglianza. Louis Dumont si è proposto di mostrare appunto la peculiarità di tali idee, il loro formarsi, le loro implicazioni. Questo ampio disegno comprende «Homo hierarchicus» (1966) e i due volumi di «Homo aequalis». Nel pensiero di Dumont la polarità gerarchia/eguaglianza ha una funzione fondatrice, ma dietro di essa se ne distingue un'altra: olismo/individualismo. Tra le società che conosciamo, l'individualismo moderno si presenta come un caso unico, articolato però in forme diverse. Dapprima Dumont fi ssa l'attenzione sul nostro rapporto con le cose e su quella disciplina dove esso diventa tematico, l'economia politica. E ci mostra come l'emanciparsi della categoria dell'economico coincida con il sorgere e il trionfare dell'«ideologia moderna». Nel secondo volume si concentra sulla comparazione fra le varianti nazionali di tale ideologia, e in particolare su quella tedesca - e, a mano a mano che se ne delineano i tratti specifici, sugli «aspetti francesi più o meno corrispondenti». Da grande antropologo quale è, Dumont non si distacca mai dalla precisione del dettaglio: «Più è ambiziosa la prospettiva, più deve essere meticolosa la cura del particolare, più umile l'artigiano». 610 0 $aIndividuo$aRapporti [con la] Società$aRuolo [della] Modernità 676 $a302.5$v23$zita 700 1$aDumont,$bLouis$f<1911-1998>$0142302 702 1$aValensise,$bMarina 702 1$aViale,$bGuido$f<1943- > 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910546695103321 952 $aCOLLEZ. 1605 (82)$b3378/2021$fFSPBC 959 $aFSPBC 996 $aHomo aequalis$9564503 997 $aUNINA LEADER 00935nam0-22003011i-450 001 990005361820403321 005 20230321195700.0 035 $a000536182 035 $aFED01000536182 035 $a(Aleph)000536182FED01 035 $a000536182 100 $a19990604d1917----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $af-------00--- 200 1 $a<>altgriechischen Bnhne$fvon August Frickehaus$gmit einer Beilage von Eduard Schwartz 210 $aStrassuburg$cKarl J. Trnbner$d1917 215 $a131 p., 4 tav. di cui 1 rip.$d27 cm 225 1 $aSchhriften der Wissenschaftlichen Gesellschaft in Strassburg$v31 700 1$aFrickenhaus,$bAugust$0209379 702 1$aSchwartz,$bEduard 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005361820403321 952 $aARCH. P 036 8$bARCH. 4014$fFLFBC 959 $aFLFBC 996 $aAltgriechischen Bnhne$93057030 997 $aUNINA LEADER 05564nam 2200709 a 450 001 9911020270503321 005 20221108090458.0 010 $a9786612307614 010 $a9781282307612 010 $a1282307614 010 $a9780470316641 010 $a0470316640 010 $a9780470317310 010 $a0470317310 035 $a(CKB)1000000000687532 035 $a(StDuBDS)AH3916607 035 $a(SSID)ssj0000340652 035 $a(PQKBManifestationID)11265600 035 $a(PQKBTitleCode)TC0000340652 035 $a(PQKBWorkID)10388214 035 $a(PQKB)10454951 035 $a(PPN)140543651 035 $a(Perlego)2772201 035 $a(EXLCZ)991000000000687532 100 $a20050112d2004 fy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultivariate observations /$fG.A.F. Seber 210 $aHoboken, N.J. ;$a[Great Britain] $cWiley-Interscience$dc2004 215 $a1 online resource (xx, 686 p. ) $cill 225 0 $aWiley series in probability and mathematical statistics. Multivariate observations 225 0$aWiley series in probability and statistics 300 $aFormerly CIP.$5Uk 311 08$a9780471881049 311 08$a047188104X 320 $aIncludes bibliographical references (p. 626-670) and index. 327 $aNotation. 1. Preliminaries. 2. Multivariate Distributions. 3. Inference for the Multivariate Normal. 4. Graphical and Data-Oriented Techniques. 5. Dimension Reduction and Ordination. 6. Discriminant Analysis. 7. Cluster Analysis. 8. Multivariate Linear Models. 9. Multivariate Analysis of Variance and Covariance. 10. Special Topics. Appendix A: Some Matrix Algebra. Appendix B: Orthogonal Projections. Appendix C: Order Statistics and Probability Plotting. Appendix D: Statistical Tables. Outline Solutions to Exercises. References. Index. 330 8 $a'Multivariate Observations' investigates data-oriented techniques as well as classical methods.$bWILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "In recent years many monographs have been published on specialized aspects of multivariate data-analysis-on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers." -J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "In recent years many monographs have been published on specialized aspects of multivariate data-analysis-on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers." -J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references. 606 $aMultivariate analysis 606 $aMultivariate analysis 606 $aMathematics$2HILCC 606 $aMathematical Statistics$2HILCC 606 $aPhysical Sciences & Mathematics$2HILCC 608 $aElectronic books.$2lcsh 615 0$aMultivariate analysis. 615 0$aMultivariate analysis. 615 7$aMathematics 615 7$aMathematical Statistics 615 7$aPhysical Sciences & Mathematics 676 $a519.535 700 $aSeber$b G. A. F$g(George Arthur Frederick),$f1938-$020688 801 0$bStDuBDS 801 2$bUk 801 2$bStDuBDSZ 801 2$bUkPrAHLS 906 $aBOOK 912 $a9911020270503321 996 $aMultivariate observations$9125973 997 $aUNINA