00921nam2-22003251i-450-990000180550403321000018055FED01000018055(Aleph)000018055FED0100001805520011111d--------km-y0itay50------baitay-------001yy2. : 788-1624 p.S.l.s.e.s.d.v.27 cmEsempl. senza front. Notizie ricav. dal vol. 1.0010000134862001Dizionario universale storico-mitologico- geograficoStoriaEnciclopedie e dizionariMitologiaEnciclopedie e dizionari903Fava,AngeloITUNINARICAUNIMARCBK99000018055040332113 AR 11 B 329912FINBCFINBC2. : 788-1624 p122440UNINAING0101318cam0-22003491i-450-99000438083040332120080619095418.090-272-3723-9000438083FED01000438083(Aleph)000438083FED0100043808319990604d2001----km-y0itay50------baengNLy-------101yyRomance syntax, semantics and L2 acquisitionselected papers from the 30th Linguistic Symposium on Romance Languages, Gainesville, Florida, february 2000edited by Joaquim Camps, Caroline R. WiltshireAmsterdam ; PhiladelphiaBenjaminsc2001X, 246 p.23 cmAmsterdam studies in the theory and history of linguistic scienceSeries 4.Current issues in linguistic theory216Lingue romanzeCongressi200044021itCamps,JoaquimWiltshire,Caroline R.<1963- >Linguistic Symposium on Romance Languages<30. ;2000 ;Gainesville>321892ITUNINARICAUNIMARCBK990004380830403321440 CONV GAINESVILLE 2000 1FLFBCFLFBCRomance syntax, semantics and L2 acquisition541399UNINA01645nas 2200409 n 450 99000897899040332120240229084241.00020-1839000897899FED01000897899(Aleph)000897899FED01000897899CNRP 0002624620161109a18849999km-y0itaa50------bagerauu--------Insektenbörse1884-Stuttgart[s.n.]0010008956212001Entomologische ZeitschriftInsektenbörse595.7638[595.7:379.824](085)638(085)595:689Internationaler Entomologischer VereinITACNP20090723http://acnp.cib.unibo.it/cgi-ser/start/it/cnr/dc-p1.tcl?catno=16741&person=false&language=ITALIANO&libr=&libr_th=unina1Biblioteche che possiedono il periodicoSE990008978990403321Biblioteca del Dipartimento di Entomologia e Zoologia Agraria dell'Università degli Studi di Napoli Federico II1981-1996;DAGENDAGENInsektenbörse793062UNINA866-01NA219 Biblioteca del Dipartimento di Entomologia e Zoologia Agraria dell'Università degli Studi di Napoli Federico IIVia Università, 100, 80055 Portici (NA)08125391880817755145itacnp.cib.unibo.itACNP Italian Union Catalogue of Serialshttp://acnp.cib.unibo.it/cgi-ser/start/it/cnr/df-p.tcl?catno=16741&language=ITALIANO&libr=&person=&B=1&libr_th=unina&proposto=NO05540nam 22006974a 450 991101944960332120200520144314.09786610448388978128044838612804483859780470009673047000967597804700096660470009667(CKB)1000000000355635(EBL)257544(OCoLC)475973641(SSID)ssj0000212012(PQKBManifestationID)11174860(PQKBTitleCode)TC0000212012(PQKBWorkID)10136427(PQKB)11634071(MiAaPQ)EBC257544(Perlego)2765093(EXLCZ)99100000000035563520051202d2006 uy 0engur|n|---|||||txtccrNonparametric regression methods for longitudinal data analysis [mixed-effects modeling approaches] /Hulin Wu, Jin-Ting ZhangHoboken, N.J. Wiley-Intersciencec20061 online resource (401 p.)Wiley series in probability and statisticsSubtitle from cover.9780471483502 0471483508 Includes bibliographical references (p. 347-361) and index.Nonparametric Regression Methods for Longitudinal Data Analysis; Preface; Contents; Acronyms; 1 Introduction; 1.1 Motivating Longitudinal Data Examples; 1.1.1 Progesterone Data; 1.1.2 ACTG 388 Data; 1.1.3 MACS Data; 1.2 Mixed-Effects Modeling: from Parametric to Nonparametric; 1.2.1 Parametric Mixed-Effects Models; 1.2.2 Nonparametric Regression and Smoothing; 1.2.3 Nonparametric Mixed-Effects Models; 1.3 Scope of the Book; 1.3.1 Building Blocks of the NPME Models; 1.3.2 Fundamental Development of the NPME Models; 1.3.3 Further Extensions of the NPME Models1.4 Implementation of Methodologies1.5 Options for Reading This Book; 1.6 Bibliographical Notes; 2 Parametric Mixed-Effects Models; 2.1 Introduction; 2.2 Linear Mixed-Effects Model; 2.2.1 Model Specification; 2.2.2 Estimation of Fixed and Random-Effects; 2.2.3 Bayesian Interpretation; 2.2.4 Estimation of Variance Components; 2.2.5 The EM-Algorithms; 2.3 Nonlinear Mixed-Effects Model; 2.3.1 Model Specification; 2.3.2 Two-Stage Method; 2.3.3 First-Order Linearization Method; 2.3.4 Conditional First-Order Linearization Method; 2.4 Generalized Mixed-Effects Model2.4.1 Generalized Linear Mixed-Effects Model2.4.2 Examples of GLME Model; 2.4.3 Generalized Nonlinear Mixed-Effects Model; 2.5 Summary and Bibliographical Notes; 2.6 Appendix: Proofs; 3 Nonparametric Regression Smoothers; 3.1 Introduction; 3.2 Local Polynomial Kernel Smoother; 3.2.1 General Degree LPK Smoother; 3.2.2 Local Constant and Linear Smoothers; 3.2.3 Kernel Function; 3.2.4 Bandwidth Selection; 3.2.5 An Illustrative Example; 3.3 Regression Splines; 3.3.1 Truncated Power Basis; 3.3.2 Regression Spline Smoother; 3.3.3 Selection of Number and Location of Knots3.3.4 General Basis-Based Smoother3.4 Smoothing Splines; 3.4.1 Cubic Smoothing Splines; 3.4.2 General Degree Smoothing Splines; 3.4.3 Connection between a Smoothing Spline and a LME Model; 3.4.4 Connection between a Smoothing Spline and a State-Space Model; 3.4.5 Choice of Smoothing Parameters; 3.5 Penalized Splines; 3.5.1 Penalized Spline Smoother; 3.5.2 Connection between a Penalized Spline and a LME Model; 3.5.3 Choice of the Knots and Smoothing Parameter Selection; 3.5.4 Extension; 3.6 Linear Smoother; 3.7 Methods for Smoothing Parameter Selection; 3.7.1 Goodness of Fit3.7.2 Model Complexity3.7.3 Cross-Validation; 3.7.4 Generalized Cross-Validation; 3.7.5 Generalized Maximum Likelihood; 3.7.6 Akaike Information Criterion; 3.7.7 Bayesian Information Criterion; 3.8 Summary and Bibliographical Notes; 4 Local Polynomial Methods; 4.1 Introduction; 4.2 Nonparametric Population Mean Model; 4.2.1 Naive Local Polynomial Kernel Method; 4.2.2 Local Polynomial Kernel GEE Method; 4.2.3 Fan-Zhang 's Two-step Method; 4.3 Nonparametric Mixed-Effects Model; 4.4 Local Polynomial Mixed-Effects Modeling; 4.4.1 Local Polynomial Approximation; 4.4.2 Local Likelihood Approach4.4.3 Local Marginal Likelihood EstimationIncorporates mixed-effects modeling techniques for more powerful and efficient methodsThis book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented.With its logical structure and organization, beginning with basic principles, the text develops tWiley series in probability and statistics.Nonparametric statisticsLongitudinal methodMathematical modelsNonparametric statistics.Longitudinal methodMathematical models.519.5/4Wu Hulin1840138Zhang Jin-Ting1964-1840139MiAaPQMiAaPQMiAaPQBOOK9911019449603321Nonparametric regression methods for longitudinal data analysis4419642UNINA