00938nam1-2200349---450-9900009422502033160094225USA010094225(ALEPH)000094225USA01009422520020204d--------km-y0itay0103----baitaIT||||||||001yyContenzioso tributarioPietro SelicatoMilanoIl sole 24 orev.24 cm2001001-------2001Contenzioso tributarioLegislazione343.4504SELICATO,Pietro146968ITsalbcISBD990000942250203316IRA 34 26ECIRA 34BKECOPATTY9020020204USA01145020020403USA011737PATRY9020040406USA011705Contenzioso tributario973664UNISA03286nam 22006854a 450 991101973590332120200520144314.0978661025215297812802521501280252154978047024703704702470379780471677550047167755897804716775670471677566(CKB)1000000000018952(EBL)219060(OCoLC)62707797(SSID)ssj0000234938(PQKBManifestationID)11202201(PQKBTitleCode)TC0000234938(PQKBWorkID)10241785(PQKB)10089497(MiAaPQ)EBC219060(Perlego)2774363(EXLCZ)99100000000001895220040128d2004 uy 0engur|n|---|||||txtccrRegression with social data modeling continuous and limited response variables /Alfred DeMarisHoboken, NJ Wiley-Intersciencec20041 online resource (562 p.)Wiley series in probability and statisticsDescription based upon print version of record.9780471223375 0471223379 Includes bibliographical references (p. 512-520) and index.Regression with Social Data; Contents; Preface; 1. Introduction to Regression Modeling; 2. Simple Linear Regression; 3. Introduction to Multiple Regression; 4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models; 5. Modeling Nonlinearity; 6. Advanced Issues in Multiple Regression; 7. Regression with a Binary Response; 8. Advanced Topics in Logistic Regression; 9. Truncated and Censored Regression Models; 10. Regression Models for an Event Count; 11. Introduction to Survival Analysis; 12. Multistate, Multiepisode, and Interval-Censored Models in Survival AnalysisAppendix A. Mathematics TutorialsAppendix B. Answers to Selected Exercises; References; IndexAn accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeWiley series in probability and statistics.Regression analysisSocial sciencesStatisticsMethodologyStatisticsMethodologyRegression analysis.Social sciencesStatisticsMethodology.StatisticsMethodology.519.5/36DeMaris Alfred1946-103438MiAaPQMiAaPQMiAaPQBOOK9911019735903321Regression with social data715685UNINA