Sample surveys: B Inference and analysis
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Amsterdam [u.a.]
Elsevier [u.a.]
2009
|
Ausgabe: | 1. ed. |
Schriftenreihe: | Handbook of statistics
29B |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXIII, 642 S. graph. Darst. |
ISBN: | 9780444534385 |
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Datensatz im Suchindex
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adam_text | Table
of
Contents
Volume 29B Sample Surveys: Inference and Analysis
Preface to Handbook 29B
v
Contributors: Vol. 29B
xix
Contributors: Vol. 29A
xxi
Part
4.
Alternative Approaches to Inference from
Survey Data
1
Introduction to Part
4 3
Jean D. Opsomer
1.
Introduction
3
2.
Modes of inference with survey data
4
3.
Overview of Part
4 8
Ch.
23.
Model-Based Prediction of Finite Population Totals
11
Richard Valliant
1.
Superpopulation
models and some simple examples
11
2.
Prediction under the general linear model
14
3.
Estimation weights
17
4.
Weighted balance and robustness
18
5.
Variance estimation
20
6.
Models with qualitative auxiliaries
22
7.
Clustered populations
23
8.
Estimation under nonlinear models
29
Ch.
24.
Design- and Model-Based Inference for Model Parameters
33
David A. Binder and Georgia Roberts
1.
Introduction and scope
33
2.
Survey populations and target populations
34
3.
Statistical inferences
38
Table of
Contents
4. General
theory for fitting models
41
5.
Cases where design-based methods can be problematic
47
6.
Estimation of design-based variances
51
7.
Integrating data from more than one survey
52
8.
Some final remarks
53
Ch.
25.
Calibration Weighting: Combining Probability Samples and
Linear Prediction Models
55
Phillip S. Kott
1.
Introduction
55
2.
Randomization consistency and other asymptotic properties
58
3.
The GREG estimator
60
4.
Redefining calibration weights
65
5.
Variance estimation
69
6.
Nonlinear calibration
73
7.
Calibration and quasi-randomization
76
8.
Other approaches, other issues
80
Acknowledgements
82
Ch.
26.
Estimating Functions and Survey Sampling
83
V. P. Godambe and Mary E. Thompson
1.
Introduction
83
2.
Defining finite population and
superpopulation
parameters through estimating functions
84
3.
Design-unbiased estimating functions
85
4.
Optimality
87
5.
Asymptotic properties of sample estimating functions and their roots
89
6.
Interval estimation from estimating functions
92
7.
Bootstrapping estimating functions
96
8.
Multivariate and nuisance parameters
97
9.
Estimating functions and imputation
99
Acknowledgment
101
Ch.27. Nonparametric and Semiparametric Estimation in Complex Surveys
103
E
Jay
Breidt
and Jean D. Opsomer
1.
Introduction
103
2.
Nonparametric methods in descriptive inference from surveys
107
3.
Nonparametric methods in analytic inference from surveys
114
4.
Nonparametric methods in
nonresponse
adjustment
115
5.
Nonparametric methods in small area estimation
118
Ch.
28.
Resampling Methods in Surveys
121
Julie Gershunskaya, Jiming Jiang and P. Lahiri
1.
Introduction
121
2.
The basic notions of bootstrap and jackknife
123
3.
Methods for more complex survey designs and estimators
126
Table
of
Contents
4.
Variance estimation in the presence of imputation
134
5.
Resampling methods for sampling designs in two phases
137
6.
Resampling methods in the prediction approach
138
7.
Resampling methods in small area estimation
140
8.
Discussion
149
Acknowledgments
151
Ch.
29.
Bayesian Developments in Survey Sampling
153
Malay Ghosh
1.
Introduction
153
2.
Notation and preliminaries
154
3.
The Bayesian paradigm
156
4.
Linear
Bayes
estimator
161
5.
Bayes
estimators of the finite population mean under more complex models
164
6.
Stratified sampling and domain estimation
174
7.
Generalized linear models
179
8.
Summary
186
Acknowledgments
187
Ch.
30.
Empirical Likelihood Methods
189
J.N.K. Rao and Changbao Wu
1.
Likelihood-based approaches
189
2.
Empirical likelihood method under simple random sampling
191
3.
Stratified simple random sampling
193
4.
Pseudo
empirical likelihood method
194
5.
Computational algorithms
205
6.
Discussion
206
Acknowledgments
207
Part
5.
Special Estimation and Inference Problems
209
Introduction to Part
5 211
Gad Nathan and Danny
Pfeffermann
1.
Preface
211
2.
Overview of chapters in Part
5 212
Ch.
31.
Design-based Methods of Estimation for Domains and Small Areas
219
Risto
Lehtonen and
Ari
Veijanen
1.
Introduction
219
2.
Theoretical framework, terminology, and notation
221
3.
Direct estimators for domain eiitimation
226
4.
Indirect estimators in domain estimation
233
5.
Extended GREG family for domain estimation
244
6.
Software
248
Acknowledgments
249
χ
Table of
Contents
Ch.
32.
Model-Based Approach to Small Area Estimation
251
Gauri S. Datta
1.
Introduction
251
2.
Model-based
frequentisi
small area estimation
253
3.
Bayesian approach to small area estimation
270
4.
Concluding remarks
284
Acknowledgements
288
Ch.
33.
Design and Analysis of Surveys Repeated over Time
289
David Steel and Craig McLaren
1.
Overview of issues for repeated surveys
289
2.
Basic theory of design and estimation for repeated surveys
293
3.
Rotation patterns
296
4.
Best linear and composite estimation
297
5.
Correlation models for sampling errors
301
6.
Rotation patterns and sampling variances
304
7.
Time series methods for estimation in repeated surveys
305
8.
Seasonal adjustment and trend estimation
309
9.
Variance estimation for seasonally adjusted and trend estimates
311
10.
Rotation patterns and seasonally adjusted and trend estimates
313
Ch.
34.
The Analysis of Longitudinal Surveys
315
Gad Nathan
1.
Introduction
315
2.
Types and problems of longitudinal surveys
316
3.
General models for analysis of longitudinal data
318
4.
Treatment of
nonresponse
322
5.
Effects of informative sample design on longitudinal analysis
325
Ch.
35.
Categorical Data Analysis for Simple and Complex Surveys
329
Avinash C. Singh
1.
Introduction
329
2.
Likelihood-based methods
332
3.
Quasi-Iikelihood methods
345
4.
Weighted quasi-likelihood methods
350
5.
Unit-level models
361
6.
Conclusions
367
Acknowledgments
369
Ch.
36.
Inference on Distribution Functions and Quantiles
371
Alan H. Dorfman
1.
Introduction
371
2.
Estimating the distribution function with no auxiliary information
374
3.
Estimating the distribution function with complete auxiliary information
376
Table of
Contents
4.
Estimating the distribution function using partial auxiliary information
389
5.
Quantile estimation
390
6.
Variance estimation and confidence intervals for distribution functions
392
7.
Confidence intervals and variance estimates for quantiles
393
8.
Further results and questions
395
Ch.
37.
Scatterplots with Survey Data
397
Barry I. Graubard and Edward L.
Korn
1.
Introduction
397
2.
Modifications of scatterplots for survey data
397
3.
Discussion
419
Part
6.
Informative Sampling and Theoretical Aspects
421
Introduction to Part
6 423
Danny
Pfeffermann
1.
Motivation
423
2.
Overview of chapters in Part
6 426
Ch.
38.
Population-Based Case-Control Studies
431
Alastair Scott and Chris Wild
1.
Introduction to case-control sampling
431
2.
Basic results
434
3.
Two-phase case-control sampling
447
4.
Case-control family studies
451
5.
Conclusion
453
Ch.
39.
Inference under Informative Sampling
455
Danny
Pfeffermann
and
Michail
Sverchkov
1.
Introduction
455
2.
Informative and
ignorable
sampling
459
3.
Overview of approaches that account for informative
sampling and
nonresponse
461
4.
Use of the sample distribution for inference
468
5.
Prediction under informative sampling
475
6.
Other applications of the sample distribution
479
7.
Tests of sampling ignorability
484
8.
Brief summary
486
Acknowledgements
487
Ch.
40.
Asymptotics in Finite Population Sampling
489
Zuzana Prášková
and Pranab Kumar Sen
1.
Introduction
489
2.
Asymptotics in SRS
490
xii
Table of
Contents
3.
Resampling
in FPS:
Asymptotìcs
495
4.
Estimation of population size: Asymptotics
499
5.
Sampling with varying probabilities: Asymptotics
502
6.
Large entropy and relative samplings: Asymptotic results
510
7.
Successive
subsampling
with varying probabilities: Asymptotics
518
8.
Conclusions
521
Acknowledgment
522
Ch.
41.
Some Decision-Theoretic Aspects of Finite Population Sampling
523
YosefRinott
1.
Introduction
523
2.
Notations and definitions
524
3.
Minimax strategies
528
4.
UMVU estimators
541
5.
Admissibility
542
6.
Superpopulation
models
546
7.
Beyond simple random sampling
552
8.
List of main notations
557
Acknowledgements
558
References
559
Subject Index: Index of Vol. 29B
595
Subject Index: Index of Vol. 29A
605
Handbook of Statistics
:
Contents of Previous Volumes
615
|
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language | English |
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spellingShingle | Sample surveys Handbook of statistics Stichprobe (DE-588)4057502-0 gnd Umfrage (DE-588)4005227-8 gnd Stichprobenprüfung (DE-588)4138267-5 gnd Statistik (DE-588)4056995-0 gnd Auswertung (DE-588)4126901-9 gnd |
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title | Sample surveys |
title_auth | Sample surveys |
title_exact_search | Sample surveys |
title_full | Sample surveys B Inference and analysis ed. by D. Pfeffermann ... |
title_fullStr | Sample surveys B Inference and analysis ed. by D. Pfeffermann ... |
title_full_unstemmed | Sample surveys B Inference and analysis ed. by D. Pfeffermann ... |
title_short | Sample surveys |
title_sort | sample surveys inference and analysis |
topic | Stichprobe (DE-588)4057502-0 gnd Umfrage (DE-588)4005227-8 gnd Stichprobenprüfung (DE-588)4138267-5 gnd Statistik (DE-588)4056995-0 gnd Auswertung (DE-588)4126901-9 gnd |
topic_facet | Stichprobe Umfrage Stichprobenprüfung Statistik Auswertung Aufsatzsammlung |
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