LEADER 02564nam 2200685 450 001 996466525803316 005 20220304063726.0 010 $a3-540-38699-8 024 7 $a10.1007/BFb0073143 035 $a(CKB)1000000000437762 035 $a(SSID)ssj0000324414 035 $a(PQKBManifestationID)12098549 035 $a(PQKBTitleCode)TC0000324414 035 $a(PQKBWorkID)10305403 035 $a(PQKB)11263349 035 $a(DE-He213)978-3-540-38699-5 035 $a(MiAaPQ)EBC5594583 035 $a(Au-PeEL)EBL5594583 035 $a(OCoLC)1076236785 035 $a(MiAaPQ)EBC6842850 035 $a(Au-PeEL)EBL6842850 035 $a(OCoLC)793078808 035 $a(BIP)014340458 035 $a(PPN)15517259X 035 $a(EXLCZ)991000000000437762 100 $a20220304d1984 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aLie group representations$hII $eproceedings of the special year held at the University of Maryland, College Park 1982-1983 /$fedited by R. Herb [and three others] 205 $a1st ed. 1983. 210 1$aBerlin :$cSpringer-Verlag,$d[1984] 210 4$dİ1984 215 $a1 online resource (X, 340 p.) 225 1 $aLecture notes in mathematics ;$v1041 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-12715-1 327 $aOn some problems suggested by the trace formula -- P-invariant distributions on GL(N) and the classification of unitary representations of GL(N) (Non-archimedean case) -- Automorphic forms and a hodge theory for congruence subgroups of SL2 (?) -- Automorphic forms and L-functions for the unitary group -- On the residual spectrum of GL(n) -- On lifting -- On principal values on p-adic manifolds -- Work of Waldspurger -- The fourier transform of orbital integrals on SL2 over a p-adic field. 410 0$aLecture notes in mathematics (Springer-Verlag) ;$v1041. 606 $aLie groups$vCongresses 606 $aRepresentations of groups$vCongresses 610 $aLie Groups 610 $aRepresentations Of Groups 610 $aMathematics 615 0$aLie groups 615 0$aRepresentations of groups 676 $a512.55 702 $aHerb$b R.$4edt 702 $aKudla$b S.$4edt 702 $aLipsman$b R.$4edt 702 $aRosenberg$b J.$4edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466525803316 996 $aLie group representations$983209 997 $aUNISA LEADER 03646nam 22005895 450 001 9910484581403321 005 20250408103724.0 010 $a3-030-49421-7 024 7 $a10.1007/978-3-030-49421-6 035 $a(CKB)4100000011384323 035 $a(DE-He213)978-3-030-49421-6 035 $a(MiAaPQ)EBC6301433 035 $a(PPN)250215608 035 $a(EXLCZ)994100000011384323 100 $a20200813d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPerson-Centered Methods $eConfigural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables /$fby Mark Stemmler 205 $a2nd ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 116 p. 29 illus., 5 illus. in color.) 225 1 $aSpringerBriefs in Statistics,$x2191-5458 311 08$a3-030-49420-9 320 $aIncludes bibliographical references and index. 327 $a1. Introducing Person-Centered Methods -- 2. CFA Software -- 3. Significance Testing in CFA -- 4. CFA and Log-Linear Modeling -- 5. Longitudinal CFA -- 6. Other Person-Centered Methods Serving as Complimentary Tools for CFA -- 7. CFA and its Derivatives -- Glossary -- Index. 330 $aThis book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. This second edition explores the relationship between two statistical methods: log-linear modeling (LLM) and configural frequency analysis (CFA). Both methods compare expected frequencies with observed frequencies. However, while LLM searches for the underlying dependencies of the involved variables in the data (model-fitting), CFA examines significant residuals in non-fitting models. New developments in the second edition include: Configural Mediation Models, CFA with covariates, moderator CFA, and CFA modeling branches in tree-based methods. The new developments enable the use of categorical together with continuous variables, which makes CFA a very powerful statistical tool. This new edition continues to utilize R-package confreq (derived from Configural Frequency Analysis), much updated since the first edition and newly adjusted to the new R base program 4.0. 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