04465nam a22006491 450099100383986970753620080801131035.0080801c19671979gw 000 0 lat d73385842b13759516-39ule_instDip.to Studi Giuridiciitalatgre949.65945.31Archivio di Stato di Venezia270580Acta Albaniae Veneta saeculorum 14. et 15. Josephi Valentini labore reperta et transcripta ac typis mandataActa Albaniae Veneta saeculorum XIV et XV Josephi Valentini labore reperta et transcripta ac typis mandataPanormi :Typis Josephi Tosini; [poi] Mediolani, Typis P. I. M. E.; [poi] Panormi, Schola graphica Salesiana ; [poi] Monaci in Bavaria, Trofeniko,1967-1979.25 v. ;24 cm.25 v. divisi in 3 pt.In testa al front.: Centro internazionale di studi albanesi, Palermo. Istituto universitario orientale, Napoli. Istituto di studi albanesi dell'Universita di Roma Fondazione Giorgio Cini, Venezia. Pontificio Istituto di studi orientali, RomaPt.1., t. 1-4: Saeculum 14. complectens. - Pt.2., t. 5-17: Saeculi 15. scanderbegianam periodum complectens. - Pt. 3, t. 18-25: Saeculi 15. scanderbegianam periodum complectensAlbaniaStoriaSec. 14.-15.FontiVenezia <Repubblica>StoriaSec. 14.-15.FontiValentini, Giuseppe,S.J.,1900-1979Venezia. Archivio di Stato.b1375951628-01-1401-08-08991003839869707536LE027 949.65 AAV01.01V. 1-251le027-E0.00-no 00000.i1481490001-08-08LE027 949.65 AAV01.01 V. 11LE027-25503le027nE100.00-no 00000.i1481492401-08-08LE027 949.65 AAV01.01 V. 21le027nE100.00-no 00000.i1481493601-08-08LE027V. 31le027nE100.00-no 00000.i1481494801-08-08LE027V. 41le027nE100.00-no 00000.i1481495x01-08-08LE027V. 51le027nE100.00-no 00000.i1481496101-08-08LE027V. 61le027nE100.00-no 00000.i1481497301-08-08LE027V. 71le027nE100.00-no 00000.i1481498501-08-08LE027V. 81le027nE100.00-no 00000.i1481499701-08-08LE027V. 91le027nE100.00-no 00000.i1481500x01-08-08LE027V. 101le027nE100.00-no 00000.i1481501101-08-08LE027V. 111le027nE100.00-no 00000.i1481502301-08-08LE027V. 121le027nE100.00-no 00000.i1481503501-08-08LE027V. 131le027nE100.00-no 00000.i1481504701-08-08LE027V. 141le027nE100.00-no 00000.i1481505901-08-08LE027V. 151le027nE100.00-no 00000.i1481506001-08-08LE027V. 161le027nE100.00-no 00000.i1481507201-08-08LE027V. 171le027nE100.00-no 00000.i1481508401-08-08LE027V. 181le027nE100.00-no 00000.i1481509601-08-08LE027V. 191le027nE100.00-no 00000.i1481510201-08-08LE027V. 201le027nE100.00-no 00000.i1481511401-08-08LE027V. 211le027nE100.00-no 00000.i1481512601-08-08LE027V. 221le027nE100.00-no 00000.i1481513801-08-08LE027V. 231le027nE100.00-no 00000.i1481514x01-08-08LE027V. 241le027nE100.00-no 00000.i1481515101-08-08LE027V. 251le027nE100.00-no 00000.i1481516301-08-08Acta Albaniae Veneta saeculorum 14. et 15. Josephi Valentini labore reperta et transcripta ac typis mandata1228461UNISALENTOle02701-08-08ca -latgw 0005232nam 22005415 450 991025407920332120250410121911.03-319-33946-X10.1007/978-3-319-33946-7(CKB)3710000000866389(DE-He213)978-3-319-33946-7(MiAaPQ)EBC4694135(PPN)195511670(EXLCZ)99371000000086638920160920d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdaptive Regression for Modeling Nonlinear Relationships /by George J. Knafl, Kai Ding1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXV, 372 p. 57 illus., 13 illus. in color.)Statistics for Biology and Health,2197-56713-319-33944-3 Includes bibliographical references and index.Introduction -- Adaptive Regression Modeling of Univariate Continuous Outcomes -- Adaptive Regression Modeling of Univariate Continuous Outcomes in SAS -- Adaptive Regression Modeling of Multivariate Continuous Outcomes -- Adaptive Regression Modeling of Multivariate Continuous Outcomes in SAS -- Adaptive Transformation of Positive Valued Continuous Outcomes -- Adaptive Logistic Regression Modeling of Univariate Dichotomous and Polytomous Outcomes -- Adaptive Logistic Regression Modeling of Univariate Dichotomous and Polytomous Outcomes in SAS -- Adaptive Logistic Regression Modeling of Multivariate Dichotomous and Polytomous Outcomes -- Adaptive Logistic Regression Modeling of Multivariate Dichotomous and Polytomous Outcomes in SAS -- Adaptive Poisson Regression Modeling of Univariate Count Outcomes -- Adaptive Poisson Regression Modeling of Univariate Count Outcomes in SAS -- Adaptive Poisson Regression Modeling of Multivariate Count Outcomes -- Adaptive Poisson Regression Modeling of Multivariate Count Outcomes in SAS -- Generalized Additive Modeling -- Generalized Additive Modeling in SAS -- Multivariate Adaptive Regression Spline Modeling -- Multivariate Adaptive Regression Spline Modeling in SAS -- Adaptive Regression Modeling Formulation. .This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence is often not considered in applied research, yet nonlinear relationships are common and so need to be addressed. A standard linear analysis can produce misleading conclusions, while a nonlinear analysis can provide novel insights into data, not otherwise possible. A variety of examples of the benefits of modeling nonlinear relationships are presented throughout the book. Methods are covered using what are called fractional polynomials based on real-valued power transformations of primary predictor variables combined with model selection based on likelihood cross-validation. The book covers how to formulate and conduct such adaptive fractional polynomial modeling in the standard, logistic, and Poisson regression contexts with continuous, discrete, and counts outcomes, respectively, either univariate or multivariate. The book also provides a comparison of adaptive modeling to generalized additive modeling (GAM) and multiple adaptive regression splines (MARS) for univariate outcomes. The authors have created customized SAS macros for use in conducting adaptive regression modeling. These macros and code for conducting the analyses discussed in the book are available through the first author's website and online via the book’s Springer website. Detailed descriptions of how to use these macros and interpret their output appear throughout the book. These methods can be implemented using other programs. Provides insight into modeling of nonlinear relationships and also justifications for when to use them, thereby providing novel insights about relationships Addresses not only adaptive generation of additive models but also of models based on nonlinear interactions Discusses adaptive modeling of variances/dispersions as well as of means Highlights both univariate and multivariate outcomes, rather than solely univariate outcomes.Statistics for Biology and Health,2197-5671BiometryStatisticsBiostatisticsStatistical Theory and MethodsBiometry.Statistics.Biostatistics.Statistical Theory and Methods.519.536Knafl George J.authttp://id.loc.gov/vocabulary/relators/aut755792Ding Kaiauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254079203321Adaptive Regression for Modeling Nonlinear Relationships2047106UNINA