Post Stratification Biblio.pdf ©2013, Timothy G. Gregoire, Yale University
Last revised: September 2013
POST STRATIFICATION
1941-Present
(35 entries)
1.
Stephan, F.F. (1941) “Stratification in representative sampling”. Journal of Marketing
6(1): 38 – 46.
2.
Williams, W.H. (1962) “The variance of an estimator with post-stratified weighting”.
Journal of the American Statistical Association 57(299): 622- 627.
3.
Durbin, J. (1969) “Inferential aspects of the randomness of sample size in survey sampling”. Norman L. Johnson and Harry Smith, New developments in survey sampling,
Wiley, New York: 629 – 651.
4.
Arvanits, L.G. and Afonja, B. (1971) “Use of the generalized variance and the gradient projection method in multivariate stratified sampling”. Biometrics 27: 119 – 27.
5.
Doss, D.C., Hartley, H.O. and Somayajula, G.R. (1979) “An exact small sample theory for post - stratification”. Journal of Statistical Planning and Inference 3: 235 – 247.
6.
Holt, D. and Smith, T.M. F. (1979) “Post Stratification”. Journal of Royal Statistical
Society 142 (1): 33 – 46.
7.
Fuller, W.A. (1981) “Comment on ratio estimator and estimators of its variance”. Journal of the American Statistical Association 76(373): 78 – 80.
8.
DuMouchel, W.H. and Duncan, G.J. (1983) “Using sample survey weights in multiple regression analyses of stratified samples”. Journal of the American Statistical Association
78 (383): 535 – 534.
9.
Sukhatme, P.V., Sukhatme, B.V. and Asok, C. (1984) “Sampling theory of surveys with applications”. Indian Society of Agricultural Statistics : 133 – 135.
10.
Hidiroglou, M.A. and Sarndal, C.E. (1985) “An empirical study of some regression estimators for small domains”. Survey Methodology 11(1): 65 – 77.
11.
Jagers, P. (1985) “How far should one post-stratify?” Lund: 189 – 194.

Post Stratification Biblio.pdf ©2013, Timothy G. Gregoire, Yale University
12.
Jagers, P., Oden, A. and Trulsson, L. (1985) “Post-stratification and Ratio Estimation:
Usages of auxiliary information in survey sampling and opinion polls”. International
Statistical Review 53(3): 221 – 238.
13.
Rao, J.N.K. (1985) “Conditional inference in survey sampling”. Survey Methodology
11(1): 15 – 31.
14.
Hidiroglou. M.A. and Sarndal, C.E. (1986) “Conditional inference for small area estimation”. American Statistical Association : 147 -156.
15.
Jagers, P. (1986) “Post-Stratification against bias in sampling”. International Statistical
Review 54(2): 159 – 167.
16.
Bethlehem, J.G. and Keller, W.J. (1987) “Linear weighting of sample survey data”.
Journal of Official Statistics 3(2): 141 – 153.
17.
Robinson, J. (1987) “Conditioning ratio estimates under simple random sampling”.
Journal of the American Statistical Association 82(399): 826 – 831.
18.
Valliant, R. (1987) “Generalized variance functions in stratified two-stage sampling”.
Journal of the American Statistical Association 82(398): 499 – 508.
19.
Bankier, M.D. (1989) “Generalized least squares estimation under post stratification”.
American Statistical Association : 730 – 735.
20.
Pfeffermann, D. and Krieger, A.M. (1991) “Post Stratification using regression estimators when information on strata means and sizes are missing”. Biometrics 78(2):
409 – 419.
21.
Smith, T.M.F. (1991) “Session 11 Post Stratification”. The Statistician 40: 315 – 323.
22.
Stevens, Jr, D.L. and Olsen, A.R. (1991) “Statistical issues in Environmental Monitoring and Assessment”. American Statistical Association : 76- 85.
23.
Thompson, S.K. (1992) “Sampling”. A Wiley – Interscience Publication : 104 – 109.
24.
Casady, R.J. and Valliant, R. (1993) “Conditional properties of post stratified estimators under normal theory”. Survey Methodology 19(2): 183 – 192.

Post Stratification Biblio.pdf ©2013, Timothy G. Gregoire, Yale University
25.
Li, H.G., Schreuder, H.T., Van Hooser, D.D. and Brink, G.E. (1993) “Estimation with different stratification at two occasions”. Forest Science 39(2): 368 – 383.
26.
Little, R.J.A. (1993) “Post-stratification: A Modeler’s perspective”. Journal of the
American Statistical Association 88(423): 1001 – 1012.
27.
Petkau, J. (1993) “Post – Stratification of a stratified random sample”. Research Report :
1-10.
28.
Valliant, R. (1993) “Post stratification and conditional variance estimation”. Journal of the American Statistical Association 88(421): 89 – 96.
29.
Tille, Y. (1996) “Estimation in surveys using conditional inclusion probabilities: Simple random sampling”. International Statistical Review 66(3): 303 – 322.
30.
Zhang, L.C. (2000) “Post-Stratification and Calibration – A Synthesis”. The American
Statistician 54(3): 178 – 183.
31.
Reilly, C., Gelman, A. and Katz, J. (2001) “Post Stratification without population level information on the post stratifying variable, with application to political polling”. Journal of the American Statistical Association 96(453): 1 – 11.
32.
Nilsson, M., Holm, S., Reese, H., Wallerman, J. and Engberg, J. (2005) “Improved forest statistics from the Swedish national forest inventory by combining field data and optical satellite data using post - stratification”. Forestsat : 22-26.
33.
Breidt, F.J. and Opsomer, J.D. (2008) “Endogenous post-stratification in surveys: classifying with a sample-fitted model”. The Annals of Statistics 36 (1): 403 – 427.
34.
Nilsson, M., Holm, S., Wallerman, J., Reese, H. and Olsson, H. (2005) “Estimating annual cutting using multi-temporal satellite data and field data from the Swedish NFI”.
International Journal of Remote Sensing 30(19): 5109 – 5116.
35.
Chang, T. (2012) “Calibration alternatives to post stratification for doubly classified data”. Survey Methodology 38(1): 31- 41.