LEADER 00907nam0-22003011i-450- 001 990003017390403321 035 $a000301739 035 $aFED01000301739 035 $a(Aleph)000301739FED01 035 $a000301739 100 $a20000920d1971----km-y0itay50------ba 101 0 $aita 102 $aIT 200 1 $a<>banques de données dans l'administration publique$eperspectives et implications politiques$fpar Uwe Thomas. 210 $aParis$cOCDE$d1971. 215 $a75 p.$d24 cm 610 0 $aDati statistici$aAccesso 676 $a10350 702 1$aThomas,$bUwe 712 2$aOrganizzazione per la cooperazione e lo sviluppo economico 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003017390403321 952 $a10350 THO$b4546/I$fSES 959 $aSES 996 $aBanques de données dans l'administration publique$9467641 997 $aUNINA DB $aING01 LEADER 01100nam0-22003611i-450 001 990003768550403321 005 20250320140034.0 010 $a0-521-24800-0 035 $a000376855 035 $aFED01000376855 035 $a(Aleph)000376855FED01 100 $a20030910d1984----km-y0itay50------ba 101 0 $aeng 102 $aGB$aFR 105 $ay-------001yy 200 1 $aSocial representations$fedited by Robert M. Farr and Serge Moscovici 210 $aCambridge$cCambridge University Press$aParis$cEditions de la Maison des Sciences del'Homme$d1984 215 $axviii, 412 p.$cill.$d23 cm 225 1 $aEuropean studies in social psychology 610 0 $aRappresentazioni sociali 610 0 $aPercezione sociale 676 $a302.12 702 1$aFarr,$bRobert M. 702 1$aMoscovici,$bSerge$f<1925- > 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003768550403321 952 $a302 FAR 01$bBIBL. 58563$fFLFBC 952 $a302.12 FAR 1$b3355$fBFS 959 $aFLFBC 959 $aBFS 996 $aSocial representations$955745 997 $aUNINA LEADER 03585nam 22005415 450 001 9910311940603321 005 20250402120303.0 010 $a981-10-0077-8 024 7 $a10.1007/978-981-10-0077-5 035 $a(CKB)4100000007598419 035 $a(DE-He213)978-981-10-0077-5 035 $a(MiAaPQ)EBC5675620 035 $a(PPN)235002356 035 $a(EXLCZ)994100000007598419 100 $a20190204d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLongitudinal Data Analysis $eAutoregressive Linear Mixed Effects Models /$fby Ikuko Funatogawa, Takashi Funatogawa 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 141 p. 27 illus.) 225 1 $aJSS Research Series in Statistics,$x2364-0065 311 08$a981-10-0076-X 327 $aChapter 1. Linear mixed effects model -- Chapter 2. Autoregressive linear mixed effects model -- Chapter 3. Bivariate longitudinal data -- Chapter 4. State-space representation -- Chapter 5. Missing data, time dependent covariate -- Chapter 6. Pretest-Posttest data. 330 $aThis book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research. 410 0$aJSS Research Series in Statistics,$x2364-0065 606 $aStatistics 606 $aStatistics 606 $aMathematical statistics$xData processing 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aStatistics and Computing 615 0$aStatistics. 615 0$aStatistics. 615 0$aMathematical statistics$xData processing. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aStatistics and Computing. 676 $a519.5 700 $aFunatogawa$b Ikuko$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767988 702 $aFunatogawa$b Takashi$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910311940603321 996 $aLongitudinal Data Analysis$92163214 997 $aUNINA