LEADER 02770oam 2200625I 450 001 9910452004903321 005 20200520144314.0 010 $a0-429-14472-5 010 $a1-4200-1135-9 024 7 $a10.1201/b12038 035 $a(CKB)2550000000101077 035 $a(EBL)912006 035 $a(OCoLC)793193210 035 $a(SSID)ssj0000685977 035 $a(PQKBManifestationID)11405417 035 $a(PQKBTitleCode)TC0000685977 035 $a(PQKBWorkID)10731958 035 $a(PQKB)11179131 035 $a(MiAaPQ)EBC912006 035 $a(Au-PeEL)EBL912006 035 $a(CaPaEBR)ebr10558371 035 $a(CaONFJC)MIL581157 035 $a(EXLCZ)992550000000101077 100 $a20180420d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMaximum likelihood estimation for sample surveys /$fR.L. Chambers. [et al.] 210 1$aBoca Raton, Fla. :$cCRC Press,$d2012. 215 $a1 online resource (374 p.) 225 1 $aMonographs on statistics and applied probability ;$v125 300 $a"A Chapman & Hall book." 311 $a1-58488-632-3 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; Preface; 1. Introduction; 2. Maximum likelihood theory for sample surveys; 3. Alternative likelihood-based methods for sample survey data; 4. Populations with independent units; 5. Regression models; 6. Clustered populations; 7. Informative nonresponse; 8. Maximum likelihood in other complicated situations; Notation 330 $aSample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes 410 0$aMonographs on statistics and applied probability ;$v125. 606 $aSampling (Statistics) 606 $aSurveys$xStatistical methods 608 $aElectronic books. 615 0$aSampling (Statistics) 615 0$aSurveys$xStatistical methods. 676 $a001.4 676 $a001.4/33 676 $a001.433 700 $aChambers$b R. L$g(Ray L.),$0166179 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452004903321 996 $aMaximum likelihood estimation for sample surveys$92048204 997 $aUNINA