LEADER 01376nam--2200373---450- 001 990003663230203316 005 20120521141120.0 010 $a978-3-8329-1632-9 035 $a000366323 035 $aUSA01000366323 035 $a(ALEPH)000366323USA01 035 $a000366323 100 $a20120521d2007----km-y0itay50------ba 101 $ager 102 $aDE 105 $a||||||||001yy 200 1 $aStreitvermeidung und Streitbeilegung im Verwaltungsrecht$eVerfassungsrechtlicher Rahmen una verfahrensrechtliche Ausgestaltung des Aussergerichtlichen Konfliktschlichtung im Verhältnis zwischen Verwaltung und Privaten$fMarkus Kaltenborn 210 $aBaden-Baden$cNomos$d2007 215 $a431 p.$d24 cm 225 2 $aNeue Schriften zur Verwaltungsrechtswissenschaft$v4 410 0$aNeue Schriften zur Verwaltungsrechtswissenschaft$v, 4 606 0 $aContenzioso amministrativo$yGermania$2BNCF 676 $a342.43066 700 1$aKALTENBORN,$bMarkus$0266900 801 0$aIT$bsalbc$gISBD 912 $a990003663230203316 951 $aXXIV.3.S. 197$b73626 G.$cXXIV.3.S.$d00310618 959 $aBK 969 $aGIU 979 $aCHIARA$b90$c20120521$lUSA01$h1409 979 $aCHIARA$b90$c20120521$lUSA01$h1410 979 $aCHIARA$b90$c20120521$lUSA01$h1411 996 $aStreitvermeidung und Streitbeilegung im Verwaltungsrecht$91139454 997 $aUNISA LEADER 01686nam0 2200349 i 450 001 SUN0102845 005 20191106010636.817 010 $a8-1-4614-9160-6$d0.00 017 70$2N$a978-1-4614-9161-3 100 $a20151009d2014 |0engc50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $a*Nonlinear maps and their applications$eselected contributions from the NOMA 2011 international workshop$fClara Grácio ... [et al.] editors 205 $aNew York : Springer, 2014 210 $aX$d166 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0102574$12001 $a*Springer proceedings in mathematics & statistics$v57$1210 $aBerlin$cSpringer$d2012-. 606 $a37Fxx$xDynamical systems over complex numbers [MSC 2020]$2MF$3SUNC020362 606 $a37-XX$xDynamical systems and ergodic theory [MSC 2020]$2MF$3SUNC020363 606 $a92Bxx$xMathematical biology in general [MSC 2020]$2MF$3SUNC021467 606 $a91-XX$xGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]$2MF$3SUNC025601 620 $aUS$dNew York$3SUNL000011 702 1$aGrácio$b, Clara$3SUNV080271 712 12$aInternational workshop on nonlinear maps and their applications$d3.$f2011$eEvora, Portugal$3SUNV087410 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20201019$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-1-4614-9161-3 912 $aSUN0102845 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 4578 $e15EB 4578 20191106 996 $aNonlinear maps and their applications$91410738 997 $aUNICAMPANIA LEADER 05268nam 22006134a 450 001 9910830449303321 005 20230617024600.0 010 $a1-280-26954-5 010 $a9786610269549 010 $a0-470-09407-9 010 $a0-470-09408-7 035 $a(CKB)111087027098532 035 $a(EBL)175041 035 $a(OCoLC)475880177 035 $a(SSID)ssj0000251039 035 $a(PQKBManifestationID)11200067 035 $a(PQKBTitleCode)TC0000251039 035 $a(PQKBWorkID)10245542 035 $a(PQKB)11625090 035 $a(MiAaPQ)EBC175041 035 $a(EXLCZ)99111087027098532 100 $a20040429d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical estimation of epidemiological risk$b[electronic resource] /$fKung-Jong Lui 210 $aChichester ;$aHoboken, NJ $cWiley$dc2004 215 $a1 online resource (213 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 $a0-470-85071-X 320 $aIncludes bibliographical references and index. 327 $aStatistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling 327 $aExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data 327 $a4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling 327 $a5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling 327 $a7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling 327 $a8.2 A series of independent binomial sampling procedures 330 $aStatistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics. Other key features include:Provides comprehensive coverage of the key epidemiological indices.Includes coverage of various sampling methods 410 0$aStatistics in practice. 606 $aEpidemiology$xStatistical methods 615 0$aEpidemiology$xStatistical methods. 676 $a614.4/2/0727 676 $a614.4015195 700 $aLui$b Kung-Jong$01608164 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830449303321 996 $aStatistical estimation of epidemiological risk$93954574 997 $aUNINA