LEADER 01926nam 2200457 450 001 9910713579803321 005 20200513143025.0 035 $a(CKB)5470000002501863 035 $a(OCoLC)1154072309 035 $a(EXLCZ)995470000002501863 100 $a20200513d2009 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasuring neighborhood quality with AHS and CSS data $ea Bayesian approach /$fBrent D. Mast 210 1$a[Washington, D.C.] :$cU.S. Department of Housing and Urban Development,$d[2009] 215 $a1 online resource (21 pages) $ccolor illustrations 225 0 $a[Program Monitoring and Research Division working paper series] 300 $a"August 26, 2009"--Publisher's website. 300 $aSeries statement from publisher's website. 320 $aIncludes bibliographical references (pages 19-20). 517 $aMeasuring neighborhood quality with AHS and CSS data 606 $aNeighborhoods$zUnited States$xPublic opinion$xMathematical models 606 $aCrime$zUnited States$xPublic opinion$xMathematical models 606 $aHousing$xResident satisfaction$xMathematical models 606 $aHousing surveys$zUnited States 615 0$aNeighborhoods$xPublic opinion$xMathematical models. 615 0$aCrime$xPublic opinion$xMathematical models. 615 0$aHousing$xResident satisfaction$xMathematical models. 615 0$aHousing surveys 700 $aMast$b Brent D.$01396271 712 02$aUnited States.$bDepartment of Housing and Urban Development, 712 02$aUnited States.$bDepartment of Housing and Urban Development.$bProgram Monitoring and Research Division, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910713579803321 996 $aMeasuring neighborhood quality with AHS and CSS data$93519120 997 $aUNINA