LEADER 05380nam 22006494a 450 001 9910143508403321 005 20170815113608.0 010 $a1-280-27189-2 010 $a9786610271894 010 $a0-470-32742-1 010 $a0-470-86439-7 010 $a0-470-86720-5 035 $a(CKB)111087027146356 035 $a(EBL)159632 035 $a(OCoLC)232330671 035 $a(SSID)ssj0000102979 035 $a(PQKBManifestationID)11127630 035 $a(PQKBTitleCode)TC0000102979 035 $a(PQKBWorkID)10060899 035 $a(PQKB)11044352 035 $a(MiAaPQ)EBC159632 035 $a(EXLCZ)99111087027146356 100 $a20020829d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAnalysis of survey data$b[electronic resource] /$fedited by R.L. Chambers and C.J. Skinner 210 $aChichester, West Sussex, England ;$aHoboken, NJ $cWiley$dc2003 215 $a1 online resource (399 p.) 225 1 $aWiley series in survey methodology 300 $aDescription based upon print version of record. 311 $a0-471-89987-9 320 $aIncludes bibliographical references (p. [345]-359) and indexes. 327 $aAnalysis of Survey Data; Contents; Preface; List of Contributors; Chapter 1 Introduction; 1.1. The analysis of survey data; 1.2. Framework, terminology and specification of parameters; 1.3. Statistical inference; 1.4. Relation to Skinner, Holt and Smith (1989); 1.5. Outline of this book; PART A APPROACHES TO INFERENCE; Chapter 2 Introduction to Part A; 2.1. Introduction; 2.2. Full information likelihood; 2.3. Sample likelihood; 2.4. Pseudo-likelihood; 2.5. Pseudo-likelihood applied to analytic inference; 2.6. Bayesian inference for sample surveys 327 $a2.7. Application of the likelihood principle in descriptive inferenceChapter 3 Design-based and Model-based Methods for Estimating Model Parameters; 3.1. Choice of methods; 3.2. Design-based and model-based linear estimators; 3.2.1. Parameters of interest; 3.2.2. Linear estimators; 3.2.3. Properties of b and b; 3.3. Design-based and total variances of linear estimators; 3.3.1. Design-based and total variance of b; 3.3.2. Design-based mean squared error of b and its model expectation; 3.4. More complex estimators; 3.4.1. Taylor linearisation of non-linear statistics; 3.4.2. Ratio estimation 327 $a3.4.3. Non-linear statistics - explicitly defined statistics3.4.4. Non-linear statistics - defined implicitly by score statistics; 3.4.5. Total variance matrix of b for non-negligible sampling fractions; 3.5. Conditional model-based properties; 3.5.1. Conditional model-based properties of b; 3.5.2. Conditional model-based expectations; 3.5.3. Conditional model-based variance for b and the use of estimating functions; 3.6. Properties of methods when the assumed model is invalid; 3.6.1. Critical model assumptions; 3.6.2. Model-based properties of b; 3.6.3. Model-based properties of b 327 $a3.6.4. Summary3.7. Conclusion; Chapter 4 The Bayesian Approach to Sample Survey Inference; 4.1. Introduction; 4.2. Modeling the selection mechanism; Chapter 5 Interpreting a Sample as Evidence about a Finite Population; 5.1. Introduction; 5.2. The evidence in a sample from a finite population; 5.2.1. Evidence about a probability; 5.2.2. Evidence about a population proportion; 5.2.3. The likelihood function for a population proportion or total; 5.2.4. The probability of misleading evidence; 5.2.5. Evidence about the average count in a finite population 327 $a5.2.6. Evidence about a population mean under a regression model5.3. Defining the likelihood function for a finite population; PART B CATEGORICAL RESPONSE DATA; Chapter 6 Introduction to Part B; 6.1. Introduction; 6.2. Analysis of tabular data; 6.2.1. One-way classification; 6.2.2. Multi-way classifications and log-linear models; 6.2.3. Logistic models for domain proportions; 6.3. Analysis of unit-level data; 6.3.1. Logistic regression; 6.3.2. Some issues in weighting; Chapter 7 Analysis of Categorical Response Data from Complex Surveys: an Appraisal and Update; 7.1. Introduction 327 $a7.2. Fitting and testing log-linear models 330 $aThis book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex 410 0$aWiley series in survey methodology. 606 $aMathematical statistics$xMethodology 608 $aElectronic books. 615 0$aMathematical statistics$xMethodology. 676 $a001.4/22 676 $a001.433 701 $aChambers$b R. L$g(Ray L.)$0166179 701 $aSkinner$b C. J$0884222 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143508403321 996 $aAnalysis of survey data$91974488 997 $aUNINA