02770oam 2200625I 450 991045200490332120200520144314.00-429-14472-51-4200-1135-910.1201/b12038 (CKB)2550000000101077(EBL)912006(OCoLC)793193210(SSID)ssj0000685977(PQKBManifestationID)11405417(PQKBTitleCode)TC0000685977(PQKBWorkID)10731958(PQKB)11179131(MiAaPQ)EBC912006(Au-PeEL)EBL912006(CaPaEBR)ebr10558371(CaONFJC)MIL581157(EXLCZ)99255000000010107720180420d2012 uy 0engur|n|---|||||txtccrMaximum likelihood estimation for sample surveys /R.L. Chambers. [et al.]Boca Raton, Fla. :CRC Press,2012.1 online resource (374 p.)Monographs on statistics and applied probability ;125"A Chapman & Hall book."1-58488-632-3 Includes bibliographical references.Front 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; NotationSample 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 includesMonographs on statistics and applied probability ;125.Sampling (Statistics)SurveysStatistical methodsElectronic books.Sampling (Statistics)SurveysStatistical methods.001.4001.4/33001.433Chambers R. L(Ray L.),166179MiAaPQMiAaPQMiAaPQBOOK9910452004903321Maximum likelihood estimation for sample surveys2048204UNINA