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Record Nr. |
UNINA9910877666803321 |
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Titolo |
Analysis of survey data / / edited by R.L. Chambers and C.J. Skinner |
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Pubbl/distr/stampa |
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Chichester, West Sussex, England ; ; Hoboken, NJ, : Wiley, c2003 |
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ISBN |
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1-280-27189-2 |
9786610271894 |
0-470-32742-1 |
0-470-86439-7 |
0-470-86720-5 |
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Descrizione fisica |
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1 online resource (399 p.) |
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Collana |
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Wiley series in survey methodology |
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Altri autori (Persone) |
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ChambersR. L (Ray L.) |
SkinnerC. J |
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Disciplina |
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Soggetti |
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Mathematical statistics - Methodology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [345]-359) and indexes. |
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Nota di contenuto |
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Analysis 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 |
2.7. 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 |
3.4.3. Non-linear statistics - explicitly defined statistics3.4.4. Non- |
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