LEADER 04416nam 2200649 a 450 001 9910143230003321 005 20170815113431.0 010 $a1-280-26918-9 010 $a9786610269181 010 $a0-470-09163-0 010 $a0-470-09164-9 035 $a(CKB)111087027096410 035 $a(EBL)164886 035 $a(OCoLC)54356871 035 $a(SSID)ssj0000225866 035 $a(PQKBManifestationID)11220439 035 $a(PQKBTitleCode)TC0000225866 035 $a(PQKBWorkID)10233285 035 $a(PQKB)11238105 035 $a(MiAaPQ)EBC164886 035 $a(EXLCZ)99111087027096410 100 $a20030604d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPractical methods for design and analysis of complex surveys$b[electronic resource] /$fRisto Lehtonen and Erkki Pahkinen 205 $a2nd ed. 210 $aChichester, West Sussex, England ;$aHoboken, NJ $cJ. Wiley$dc2004 215 $a1 online resource (361 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 $a0-470-84769-7 320 $aIncludes bibliographical references (p. 331-338) and indexes. 327 $aPractical Methods for Design and Analysis of Complex Surveys; Contents; Preface; 1 Introduction; 2 Basic Sampling Techniques; 2.1 Basic definitions; 2.2 The Province'91 population; 2.3 Simple random sampling and design effect; 2.4 Systematic sampling and intra-class correlation; 2.5 Selection with probability proportional to size; 3 Further Use of Auxiliary Information; 3.1 Stratified sampling; 3.2 Cluster sampling; 3.3 Model-assisted estimation; 3.4 Efficiency comparison using design effects; 4 Handling Nonsampling Errors; 4.1 Reweighting; 4.2 Imputation 327 $a4.3 Chapter summary and further reading5 Linearization and Sample Reuse in Variance Estimation; 5.1 The Mini-Finland Health Survey; 5.2 Ratio estimators; 5.3 Linearization method; 5.4 Sample reuse methods; 5.5 Comparison of variance estimators; 5.6 The Occupational Health Care Survey; 5.7 Linearization method for covariance-matrix estimation; 5.8 Chapter summary and further reading; 6 Model-assisted Estimation for Domains; 6.1 Framework for domain estimation; 6.2 Estimator type and model choice; 6.3 Construction of estimators and model specification; 6.4 Further comparison of estimators 327 $a6.5 Chapter summary and further reading7 Analysis of One-way and Two-way Tables; 7.1 Introductory example; 7.2 Simple goodness-of-fit test; 7.3 Preliminaries for tests for two-way tables; 7.4 Test of homogeneity; 7.5 Test of independence; 7.6 Chapter summary and further reading; 8 Multivariate Survey Analysis; 8.1 Range of methods; 8.2 Types of models and options for analysis; 8.3 Analysis of categorical data; 8.4 Logistic and linear regression; 8.5 Chapter summary and further reading; 9 More Detailed Case Studies; 9.1 Monitoring quality in a long-term transport survey 327 $a9.2 Estimation of mean salary in a business survey9.3 Model selection in a socioeconomic survey; 9.4 Multi-level modelling in an educational survey; References; Author Index; Subject Index 330 $aLarge surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis it is also important to be aware of the different aspects of the design of complex surveys. Practical Methods for Design and Analysis of Complex Surveys features intermediate and advanced statistical techniques for use in designing and analysing complex surveys. This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors 410 0$aStatistics in practice. 606 $aSampling (Statistics) 606 $aSurveys$xMethodology 608 $aElectronic books. 615 0$aSampling (Statistics) 615 0$aSurveys$xMethodology. 676 $a001.4/33 676 $a001.433 700 $aLehtonen$b Risto$0105060 701 $aPahkinen$b Erkki$0105061 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143230003321 996 $aPractical methods for design and analysis of complex surveys$91770124 997 $aUNINA