LEADER 00976nam a2200265 i 4500 001 991001678259707536 008 030618s ur a b 001 0 eng d 020 $a0521782678 035 $ab12181602-39ule_inst 040 $aDip.to Scienze dell'Antichità$bita 082 00$a704.9 100 1 $aWoodford, Susan$038848 245 10$aImages of myths in classical antiquity /$cSusan Woodford 260 $aNew York :$bCambridge University Press,$c2002 300 $aXXVI, 305 p. :$bill. ;$c26 cm 504 $aBibliografia: p. 285-287. Indici 650 4$aArte e mitologia 650 4$aArte greca 650 0$aArte Romana 907 $a.b12181602$b02-04-14$c18-06-03 912 $a991001678259707536 945 $aLE015 700 - 188$g1$i2015000068200$lle007$nLE015-0306$nLE015-Vox$o-$pE102.66$q-$rl$s- $t0$u1$v0$w1$x0$y.i12534900$z18-06-03 996 $aImages of myths in classical antiquity$9146055 997 $aUNISALENTO 998 $ale007$b18-06-03$cm$da $e-$feng$gnyu$h0$i1 LEADER 03831nam 22006255 450 001 9910438030603321 005 20250413114428.0 010 $a1-4614-8715-3 024 7 $a10.1007/978-1-4614-8715-9 035 $a(CKB)3710000000024303 035 $a(EBL)1538917 035 $a(OCoLC)862612817 035 $a(SSID)ssj0001049633 035 $a(PQKBManifestationID)11678744 035 $a(PQKBTitleCode)TC0001049633 035 $a(PQKBWorkID)11018886 035 $a(PQKB)10947982 035 $a(DE-He213)978-1-4614-8715-9 035 $a(MiAaPQ)EBC1538917 035 $z(PPN)258852410 035 $a(PPN)176099468 035 $a(EXLCZ)993710000000024303 100 $a20131009d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical Analysis of Panel Count Data /$fby Jianguo Sun, Xingqiu Zhao 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (283 p.) 225 1 $aStatistics for Biology and Health,$x2197-5671 ;$v80 300 $aDescription based upon print version of record. 311 08$a1-4614-8714-5 320 $aIncludes bibliographies. 327 $aIntroduction -- Poisson Models and Parameter Inference -- Nonparametric Estimation -- Nonparametric Comparison of Point Processes -- Regression Analysis of Panel Count Data I and II -- Analysis of Multivariate Panel Count Data -- Other Topics -- Some Sets of Data -- References -- Index. 330 $aPanel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points.  By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies.  In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences.  For the cases where the study subjects are observed continuously, the resulting data  are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data.  It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions.  In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics. . 410 0$aStatistics for Biology and Health,$x2197-5671 ;$v80 606 $aBiometry 606 $aStatistics 606 $aBiostatistics 606 $aStatistical Theory and Methods 615 0$aBiometry. 615 0$aStatistics. 615 14$aBiostatistics. 615 24$aStatistical Theory and Methods. 676 $a519.5 676 $a610.72/7 700 $aSun$b Jianguo$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064759 702 $aZhao$b Xingqiu$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910438030603321 996 $aStatistical Analysis of Panel Count Data$92540559 997 $aUNINA