LEADER 03563nam 22006972 450 001 9910458150503321 005 20151005020622.0 010 $a1-107-14754-9 010 $a1-280-54050-8 010 $a0-511-79092-9 010 $a0-511-21527-4 010 $a0-511-21706-4 010 $a0-511-21169-4 010 $a0-511-31569-4 010 $a0-511-21346-8 035 $a(CKB)1000000000353344 035 $a(EBL)266572 035 $a(OCoLC)171139114 035 $a(SSID)ssj0000194111 035 $a(PQKBManifestationID)11156999 035 $a(PQKBTitleCode)TC0000194111 035 $a(PQKBWorkID)10226477 035 $a(PQKB)10452516 035 $a(MiAaPQ)EBC266572 035 $a(PPN)181158892 035 $a(UkCbUP)CR9780511790928 035 $a(EXLCZ)991000000000353344 100 $a20100611d2004|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLongitudinal and panel data $eanalysis and applications in the social sciences /$fEdward W. Frees$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2004. 215 $a1 online resource (xvi, 467 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-53538-7 311 $a0-521-82828-7 327 $aCover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction; 2 Fixed-Effects Models; 3 Models with Random Effects; 4 Prediction and Bayesian Inference; 5 Multilevel Models; 6 Stochastic Regressors; 7 Modeling Issues; 8 Dynamic Models; 9 Binary Dependent Variables; 10 Generalized Linear Models; 11 Categorical Dependent Variables and Survival Models; Appendix A Elements of Matrix Algebra; Appendix B Normal Distribution; Appendix C Likelihood-Based Inference; Appendix D State Space Model and the Kalman Filter; Appendix E Symbols and Notation 327 $aAppendix F Selected Longitudinal and Panel Data SetsReferences; Index 330 $aThis focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata. 517 3 $aLongitudinal & Panel Data 606 $aSocial sciences$xResearch$xStatistical methods 606 $aLongitudinal method 606 $aPanel analysis 606 $aSocial sciences$xMathematical models 606 $aSocial sciences$xStatistical methods 615 0$aSocial sciences$xResearch$xStatistical methods. 615 0$aLongitudinal method. 615 0$aPanel analysis. 615 0$aSocial sciences$xMathematical models. 615 0$aSocial sciences$xStatistical methods. 676 $a300/.72/7 700 $aFrees$b Edward W.$0497337 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910458150503321 996 $aLongitudinal and panel data$9752858 997 $aUNINA LEADER 01678nam 2200505 450 001 9910811119703321 005 20220726113232.0 010 $a84-1377-638-4 035 $a(MiAaPQ)EBC6851918 035 $a(Au-PeEL)EBL6851918 035 $a(CKB)20667496400041 035 $a(OCoLC)1292347107 035 $a(OCoLC-P)1292347107 035 $a(MiAaJST)10.2307/j.ctv282jg59 035 $a(MiAaPQ)EBC6918429 035 $a(EXLCZ)9920667496400041 100 $a20220726d2021 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGe?nero y educacio?n $eescuela, educacio?n no formal, familia y medios de comunicacio?n /$fcoordinadoras: Laura lvaro Andaluz Carolina Hamodi Gala?n 210 1$aMadrid :$cDykinson,$d2021. 215 $a1 online resource (354 pages) 311 08$aPrint version: Álvaro Andaluz, Laura Género y Educación: Escuela, Educación No Formal, Familia y Medios de Comunicación Madrid : Dykinson, S.L.,c2021 320 $aContiene referencias bibliogra?ficas. 606 $aCoeducation 606 $aGender mainstreaming 606 $aCoeducacio?n 606 $aPerspectiva de ge?nero 608 $aLibros electronicos. 615 0$aCoeducation. 615 0$aGender mainstreaming. 615 4$aCoeducacio?n. 615 4$aPerspectiva de ge?nero. 676 $a371.822 702 $alvaro Andaluz$b Laura 702 $aHamodi Gala?n$b Carolina 801 0$bFINmELB 801 1$bFINmELB 906 $aBOOK 912 $a9910811119703321 996 $aGe?nero y educacio?n$93933835 997 $aUNINA LEADER 01337oam 2200421zu 450 001 9911004776603321 005 20210807003518.0 010 $a1-59124-158-8 035 $a(CKB)111086367656414 035 $a(SSID)ssj0000668708 035 $a(PQKBManifestationID)11955954 035 $a(PQKBTitleCode)TC0000668708 035 $a(PQKBWorkID)10703549 035 $a(PQKB)11591344 035 $a(WaSeSS)Ind00030393 035 $a(EXLCZ)99111086367656414 100 $a20160829d1998 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSVC 41st Annual Technical Conference Proceedings 210 31$a[Place of publication not identified]$cSociety of Vacuum Coaters$d1998 215 $a1 online resource (516 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 517 1 $aSociety of Vacuum Coaters 606 $aMechanical Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aIndustrial & Management Engineering$2HILCC 615 7$aMechanical Engineering 615 7$aEngineering & Applied Sciences 615 7$aIndustrial & Management Engineering 801 0$bPQKB 906 $aBOOK 912 $a9911004776603321 996 $aSVC 41st Annual Technical Conference Proceedings$94392864 997 $aUNINA