LEADER 03345nam0 22004573i 450 001 VAN00268657 005 20260701113453.893 017 70$2N$a9781461252702 035 40$a1591466418 100 $a20231211d1984 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aEstimation of Victimization Prevalence Using Data from the National Crime Survey$fDiane Griffin Saphire 210 $aNew York$cSpringer-Verlag$d1984 215 $av, 165 p.$d24 cm 327 $aThe National Crime Survey is a sample survey of housing units conducted by the U.S. Bureau of the Census. All eligible occupants of a sampled unit are interviewed every six months (for up to seven interviews) about victimizations that they have experienced during the previous six months. In this monograph several longitudinal analyses are performed using a subsample of the data covering the years 1973 through 1975. In particular. several methods of estimating the proportion of units that are crime-free for a given year. denoted by 8. are discussed. First. several ad hoc. as opposed to model-based. estimators of 8 are discussed. including those used by the Bureau of Justice Statistics. We find models under which these estimators are consistent for 8. One such model fits the data very well. A superpopulation approach to the estimation of 8 is then taken. assuming that the nonresponse and sampling mechanisms are ignorable. Three models are fit to the data: i) a homogeneous Bernoulli model. under which victimization is independent from month to month ii) a correlated Bernoulli model. under which victimization in any two months has positive correlation p. and iii) a two-state Markov model with states "victimized" and "crime-free". The correlated Bernoulli model is found to be very inadequate. The other two models fit the 1975 data well. but have rather poor fits to the 1973 and 1974 data. Rotation group biases are conjectured to be the cause of these poor fits. 410 1$1001VAN00001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$d1980-$v23 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62D05$xSampling theory, sample surveys [MSC 2020]$3VANC037080$2MF 606 $a62P25$xApplications of statistics to social sciences [MSC 2020]$3VANC031206$2MF 610 $aCorrelation$9KW:K 610 $aCrime$9KW:K 610 $aCrime statistics$9KW:K 610 $aCrime victims$9KW:K 610 $aEstimate$9KW:K 610 $aEstimator$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aSaphire$bDiane Griffin$3VANV220592$0535337 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20260703$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4612-5270-2$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00268657 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 7659 $e08eMF7659 20231218 996 $aEstimation of victimization prevalence using data from the national crime survey$9922568 997 $aUNICAMPANIA