A Partial List of Papers for 36-905: Survey Sampling and Inference
Bowley, A. L. (1926). Measurement of the precision attained in
sampling. Bulletin of the International Statsitical Institute 22(1),
1--62. [BowleyArticleFULL.pdf]
Jensen, A. (1926). The representative method in practice. Bulletin of
the International Statsitical Institute 22(1), 377--439.
[JensenArticleFULL.pdf]
On the Two Different Aspects of the Representative Method: The Method
of Stratified Sampling and the Method of Purposive Selection
Author(s): Jerzy Neyman Source: Journal of the Royal Statistical
Society, Vol. 97, No. 4 (1934), pp. 558-625 Published by: Blackwell
Publishing for the Royal Statistical Society Stable URL:
http://www.jstor.org/stable/2342192 [neyman-1934-jrss.pdf]
A Generalization of Sampling Without Replacement From a Finite
Universe Author(s): D. G. Horvitz and D. J. Thompson Source: Journal
of the American Statistical Association, Vol. 47, No. 260 (Dec.,
1952), pp. 663- 685 Published by: American Statistical Association
Stable URL: http://www.jstor.org/stable/2280784
[Horvitz-Thompson-1952-jasa.pdf]
A Unified Theory of Sampling From Finite Populations
Author(s): V. P. Godambe Source: Journal of the Royal Statistical Society. Series B
(Methodological), Vol. 17, No. 2 (1955), pp. 269-278
Published by: Blackwell Publishing for the Royal Statistical Society
Stable URL: http://www.jstor.org/stable/2983963 [Godambe-1955.pdf]
A New Approach to Sampling from Finite Populations. II Distribution-Free
Sufficiency Author(s): V. P. Godambe Source: Journal of the Royal
Statistical Society. Series B (Methodological), Vol. 28, No. 2
(1966), pp. 320-328 Published by: Blackwell Publishing for the Royal
Statistical Society Stable URL: http://www.jstor.org/stable/2984375
[Godambe-1966.pdf]
A New Estimation Theory for Sample Surveys
Author(s): H. O. Hartley and J. N. K. Rao
Source: Biometrika, Vol. 55, No. 3 (Nov., 1968), pp. 547-557
Published by: Biometrika Trust
Stable URL: http://www.jstor.org/stable/2334260
[HartleyRao-Biometrika-1968.pdf]
Sankhya: The Indian Journal of Statistics
D. Basu 1969, Volume 31, Series A, Pt. 4, pp. 441--454
ROLE OF THE SUFFICIENCY AND LIKELIHOOD PRINCIPLES IN SAMPLE SURVEY THEORY
[not yet avail online]
Foundations of Survey-Sampling
Author(s): V. P. Godambe
Source: The American Statistician, Vol. 24, No. 1 (Feb., 1970), pp. 33-38
Published by: American Statistical Association
Stable URL: http://www.jstor.org/stable/2682294
[Godambe-Amstat-1970.pdf]
Foundations of Survey Sampling (A Don Quixote Tragedy)
Author(s): H. O. Hartley and J. N. K. Rao
Source: The American Statistician, Vol. 25, No. 1 (Feb., 1971), pp. 21-27
Published by: American Statistical Association
Stable URL: http://www.jstor.org/stable/2682207
[Hartley-Rao-Amstat-1971.pdf]
Subjective Bayesian Models in Sampling Finite Populations
Author(s): W. A. Ericson Source: Journal of the Royal Statistical Society.
Series B (Methodological), Vol. 31, No. 2 (1969), pp. 195-233
Published by: Blackwell Publishing for the Royal Statistical Society
Stable URL: http://www.jstor.org/stable/2984206
[Ericson-JRSSB-1969.pdf]
Using Sample Survey Weights in Multiple Regression Analyses of
Stratified Samples Author(s): William H. DuMouchel and Greg J. Duncan
Source: Journal of the American Statistical Association, Vol. 78, No.
383 (Sep., 1983), pp. 535-543
Published by: American Statistical Association
Stable URL: http://www.jstor.org/stable/2288115
[DumouchelDuncan-JASA-1983.pdf]
Ignorable and Informative Designs in Survey Sampling Inference
Author(s): R. A. Sugden and T. M. F. Smith Source: Biometrika,
Vol. 71, No. 3 (Dec., 1984), pp. 495-506 Published by: Biometrika
Trust Stable URL: http://www.jstor.org/stable/2336558
[SugdenSmith-Biometrika-1984.pdf]
Experimental and Sampling Structures: Parallels Diverging and Meeting
Author(s): Stephen E. Fienberg and Judith M. Tanur
Source: International Statistical Review / Revue Internationale de
Statistique, Vol. 55, No. 1 (Apr., 1987), pp. 75-96
Published by: International Statistical Institute (ISI)
Stable URL: http://www.jstor.org/stable/1403272
[FienbergTanur-ISR-1987.pdf]
Sampling and Assignment Mechanisms in Experiments, Surveys and
Observational Studies, Correspondent Paper Author(s): T. M. F. Smith
and R. A. Sugden Source: International Statistical Review / Revue
Internationale de Statistique, Vol. 56, No. 2 (Aug., 1988),
pp. 165-180 Published by: International Statistical Institute (ISI)
Stable URL: http://www.jstor.org/stable/1403640[SmithSugden-ISR-1988.pdf]
Smith, T. F. M. (1988). To weight or not to weight, that is the question.
pp. 437--451 in Bernardo, T.M., Degroot, M.H., Lindley, D.V., and Smith,
A.F.M (eds.). Bayesian Statistics 3: Oxford University Press.
[smith-1988.pdf]
The Role of Sampling Weights When Modeling Survey Data Author(s):
Danny Pfeffermann Source: International Statistical Review / Revue
Internationale de Statistique, Vol. 61, No. 2 (Aug., 1993),
pp. 317-337 Published by: International Statistical Institute (ISI)
Stable URL: http://www.jstor.org/stable/1403631
[Pfeffermann-ISR-1993.pdf]
RECONSIDERING NEYMAN ON EXPERIMENTATION AND SAMPLING: CONTROVERSIES AND
FUNDAMENTAL CONTRIBUTIONS. Stephen E. Fienberg and Judith M. Tanur.
Probability and Mathematical Statistics: (1995) Vol. 15, 47-60.
[Fienberg-Tanur-Neyman-Probability&Statistics-1995.pdf]
Reconsidering the Fundamental Contributions of Fisher and Neyman on
Experimentation and Sampling
Author(s): Stephen E. Fienberg and Judith M. Tanur
Source: International Statistical Review / Revue Internationale de
Statistique, Vol. 64, No. 3
(Dec., 1996), pp. 237-253
Published by: International Statistical Institute (ISI)
Stable URL: http://www.jstor.org/stable/1403784
[Fienberg-Tanur-1996.pdf]
A new approach to weighting and inference in sample surveys
BY JEAN-FRANC¸OIS BEAUMONT
Biometrika (2008), 95, 3, pp. 539–553 doi: 10.1093/biomet/asn028
C 2008 Biometrika Trust
Printed in Great Britain
[weighting-Biometrika-9-08.pdf]
There are several interesting talks available online at the website
of the Workshop on Sample Surveys and Bayesian Statistics, 29-29 August
2008, Southampton, Hamshire, UK:
|
|---|
| Fred Smith |
Reflections on the use of Bayesian methods for the design and analysis of
sample surveys | Invited | 01 Fred
Smith.pdf
| Shelley Zacks | Bayesian analysis in
prediction models for sampling surveys | Invited | 02
Shelly Zacks.pdf
| Rod Little | Proxy Pattern-Mixture
Analysis for survey nonresponse bias | Invited | 03 Rod
Little.pdf
| Dominique Haughton, Phong Nguyen |
Multilevel models and living standards in Vietnam |
Contributed | 04
Dominique Haughton.pdf
| Chun Yin Yip, Sujit Sahu | Improved
space-time forecasting of next day ozone concentrations in the eastern
U.S. | Contributed | 05 Chun
Yip.pdf
| Yoshiki Tukakoshi | Multi-stage sampling
survey of heavy metal intake of total diet study | Contributed | 06
Yoshiki Tsukakoshi.pdf
| Barbara Kowalczyk, Emilia Tomczyk |
Survey non-response and properties of expectations of industrial
enterprises - analysis based on business tendency surveys |
Contributed | 07
Barbara Kowalczyk.pdf
| John Aldrich | Bowley's Bayesian Sampling
Theory and its Context | Contributed | 08
John Aldrich.pdf
| Yves Thibaudeau | The Method of Laplace
for Variance Estimation in Surveys: A Frequentist Approach to A Bayesian
Method | Contributed | 09
Yves Thibaudeau.pdf
| Harm Jan Boonstra | A Bayesian framework
for combining information from different data sources at an aggregate
level | Contributed | 10
Harm Jan Boonstra.pdf
| Michael Elliott | Accounting for Complex
Sample Designs via Finite Mixture Models | Contributed | 11
MichaelElliott.pdf
| David Binder | Bayesians and Frequentists
under Informative and Non-informative Survey Sampling | Invited | 12
David Binder.pdf
| Roger Sugden | Bayesian predictive
inference under informative sampling schemes | Invited | 13
Roger Sugden.pdf
| Steve Fienberg | To Weight or Not to
Weight? A Bayesian Model-Based Update | Invited | 14
Stephen Fienberg.pdf
| Malay Ghosh | Bayesian Benchmarking in
small area estimation | Invited | 15
Malay Ghosh.pdf
| Partha Lahiri | Small Area Estimation -
An Adaptive Bayesian Approach | Invited | 16
Partha Lahiri.pdf
| Gauri Datta | Bayesian Estimation of
Small Area Means under Measurement Error Models | Invited | 17
Gauri Datta.pdf
| Abdulhakeem Eideh | Bayes estimation
under informative probability sampling design | Contributed | 18
Abdulhakeem Eideh.pdf
| Sara Geneletti, Sylvia Richardson, Nicky Best
| Adjusting for selection bias in case control studies using Bayesian
post-stratification | Contributed | 19
Sara Geneletti.pdf
| Qixuan Chen, Michael Elliott, Rod Little |
Bayesian estimation of mean and quantiles in unequal probability
sampling | Contributed | 20
Qixuan Chen.pdf
| Andrea Tancredi, Brunero Liseo | A
hierarchical Bayesian model for record linkage with application to population
size | Contributed | 21
Andrea tancredi.pdf
| Satkartar Kinney, Jerome Reiter, James
Berger | Model selection with partially synthetic data |
Contributed | 22
Saki Kinney.pdf
| Michael von Maltitz | An Application of
Sequential Regression Multiple Imputation on Panel Data |
Contributed | 23
Michael Von Maltitz.pdf
| Ugo Guarnera, Marco Di Zio | Multiple
Imputation through Finite Gaussian Mixtures in an Economic Business
Survey | Contributed | 24
Ugo Guarnera.pdf
| Flavio Verrecchia, Paola M. Chiodini, Daniele
Coin, Silvia Facchinetti, Marta Nai Ruscone | Bayesian Approach for
Nonresponse | Contributed | 25
Flavio Verrechia.pdf
| Simon Shaw | Finite population
corrections for multivariate Bayes sampling | Invited | 26
Simon Shaw.pdf
| Nicky Best | Enhancing inference from
sample surveys by combining multiple data sources: a Bayesian graphical
modelling approach | Invited | 27
Nicky Best.pdf
| Trivellore Raghunathan | A Bayesian
approach for combinig information from multiple surveys. | Invited |
28
Trivellore Raghunathan.pdf
| Don Rubin | Assessing Bayesian Confidence
When Using Incorrect Bayesian Models | Invited | 29 Don
Rubin.pdf
| Jon Rao, Changbao Wu | Scale load and
pseudo-empirical likelihood approaches to interval estimation from survey
data | Invited | 30 Jon
Rao.pdf
| Yosi Rinott | Bayesian and related
techniques for non-Bayesian optimality criteria in sampling. |
Invited | 31
Yossi Rinott.pdf
| Chris Skinner | Statistical Disclosure
Risk Assessment from Different Perspectives | Invited | 33
Chris Skinner.pdf
| Jerome Reiter | Multiple imputation when
the records used for imputation are not used or disseminated for analysis |
Invited | 34
Jerry Reiter.pdf
| Fernando Moura, Joaquim Neto, Alexandra
Schmidt | Jointly Modeling the mean and the variance of the direct
estimator in longitudinal surveys: an application to population predictions of
small domains | Contributed | 35
Fernando Moura.pdf
| Andrew Judge, Nicky Welton, Mary Shaw, Yoav
Ben-Shlomo | Producing Small Area Estimates of the Need for Hip and
Knee Replacement surgery | Contributed | 36
Andrew Judge.pdf
| Bart Buelens | Comparing EBLUP and
Bayesian small area estimates of Dutch unemployment rates |
Contributed | 32
Bart Buelens.pdf
| Ahmed Al-Saber | Quantifying Expert
Opinion for Modelling Air Pollution | Contributed | 37
Ahmed AlSaber.pdf
| Atanu Adhikari | Hierarchical Bayes
analysis with group wise hyperparameter: Application and performance through
sample survey | Contributed | 38
Atanu Adhikari.pdf
- Panel discussion: The use of Bayesian Methods for Official Statistics
Panel members: David Binder, Pete Brodie, Steve Fienberg, Jon Rao, Don Rubin,
Fred Smith Chair: Danny Pfeffermann 39
Panel Discussion.pdf