J.N.K. Rao Board of Directors, LRSP Professor Emeritus and Distinguished Research Professor School of Mathematics and Statistics, Ottawa, Canada

Research interests: Survey sampling theory and methods; biostatistics

(a) Recent Publications

1. Demnati, A. and Rao, J.N.K. (2004). Linearization variance estimators for survey data (with discussion). Survey Methodology, 30, 17-34.
2. Das, K., Jiang, J. and Rao, J.N.K. (2004). Mean squared error of empirical predictor. Annals of Statistics, 32, 818-840.
3. Smith, P.J., Rao, J.N.K., Battaglia, M.P. and Daniels, D. (2004). Evaluation of adjustments for partial non-response bias in the US National Immunization Survey. Journal of the Royal Statistical Society, A, 167, 141-156.
4. Biswas, A. and Rao, J.N.K. (2004). Missing responses in adaptive allocation design. Statistics and Probability Letters (in press).
5. Datta, G.S., Rao, J.N.K. and Smith, D.D. (2004). On measuring the variability of small area estimators under a basic area level model. Biometrika, 92 (in press).
6. Rao, J.N.K. and Tausi, M. (2004). Estimating function jackknife variance estimators under stratified multistage sampling. Communications in Statistics: Theory and Methods, 33 (in press).
7. Rao, J.N.K., Scott, A.J. and Benhin, E. (2003). Undoing complex survey data structures: some theory and applications of inverse sampling (with discussion). Survey Methodology, 29, 107-128.
8. Rao, J.N.K. (2003). Some new developments in small area estimation. Journal of the Iranian Statistical Society, 2, 145-169.
9. Rao, J.N.K. (2003). Small Area Estimation, New York: Wiley, 313 pp.
10. You, Y. and Rao, J.N.K. (2003). Pseudo hierarchical Bayes small area estimation combining unit level models and survey weights. Journal of Statistical Planning and Inference, 111, 197-208.
11. Chen, J., Chen, S-Y. and Rao, J.N.K. (2003). Empirical likelihood confidence intervals for the mean of a population containing many zero values. Canadian Journal of Statistics, 31, 53-65.
12. Rao, J.N.K., Jocelyn, W. and Hidiroglou, M.A. (2003). Confidence interval coverage properties for regression estimators in uni-phase and two-phase sampling. Journal of Official Statistics, 19, 17-30.
13. Haziza, D. and Rao, J.N.K. (2003). Inference for population means under unweighted imputation for missing survey data. Survey Methodology, 29.
14. Wang, Q. and Rao, J.N.K. (2002). Empirical likelihood-based inference in linear models with missing data. Scandinavian Journal of Statistica, 29, 563-576.
15. Bellhouse, D.R. and Rao, J.N.K. (2002). Analysis of domain means in complex surveys, Journal of Statistical Planning and Inference, 102, 47-58.
16. Skinner, C.J. and Rao, J.N.K. (2002). Jackknife variance estimation for multivariate statistics under hot deck imputation from common donors, Journal of Statistical Planning and Inference, 102, 149-167.
17. Wang, Q. and Rao, J.N.K. (2002). Empirical likelihood-based inference in linear errors-in-co-variables models with validation data. Biometrika, 89, 345-358.
18. You, Y. and Rao, J.N.K. (2002). Small area estimation using unmatched sampling and linking models. Canadian Journal of Statistics, 30, 3-15.
19. Wang, Q. and Rao, J.N.K. (2002). Empirical likelihood-based inference under imputation for missing response data. Annals of Statistics, 30, 896-924.
20. You, Y. and Rao, J.N.K. (2002). A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights, Canadian Journal of Statistics, 30, 431-439.
21. Rao, J.N.K., Yung, W. and Hidiroglou, M.A. (2002). Estmating equations for the analysis of survey data using post-stratification information. Sankhya, Series A, 64, 364-378.
22. Fuller, W.A. and Rao, J.N.K. (2001). A regression composite estimator with application to the Canadian Labour Force Survey. Survey Methodology, 27, 45-51.
23. Wang, Q. and Rao, J.N.K. (2001). Empirical likelihood for linear regression models under imputation for missing responses. Canadian Journal of Statistics, 29, 597-608.
24. Rao, J.N.K. (2000). Statistical Methodology for Indirect Estimations in Small Areas, Volume 39, EUSTAT.
25. Lohr, S. and Rao, J.N.K. (2000). Inference from dual frame surveys. Journal of the American Statistical Association, 95, 271-280.
26. Yung, W. and Rao, J.N.K. (2000). Jackknife variance estimation under imputation for estimators using post-stratification information. Journal of the American Statistical Association, 95, 903-915.
27. Rao, J.N.K. (2000). Conditional inference for large and small areas. Journal of the Indian Statistical Association, 38, 383-398.
28. Yu, M. and Rao, J.N.K. (2000). Inference for nested error linear regression models with unequal error variances. Journal of Statistical Planning and Inference, 88, 233-253.
29. Zhong, Bob and Rao, J.N.K. (2000). Empirical likelihood inference under stratified random sampling using auxiliary population information. Biometrika 87, 929-938.
30. Zhong, Bob, Chen, J. and Rao, J.N.K. (2000). Empirical likelihood inference in the presence of measurement error. Canadian Journal of Statistics, 28, 841-852.
31. Bellhouse, D.R. and Rao, J.N.K. (2000). Analysis of domain means in complex surveys. Journal of Statistical Planning and Inference, 58.
32. Skinner, C.J. and Rao, J.N.K. (2000). Jackknife variance estimation for multivariate statistics under hot deck imputation from common donors. Journal of Statistical Planning and Inference, 58.
33. Chen, J., Rao, J.N.K. and Sitter, R.R. (2000). Efficient random imputation for missing data in complex surveys. Statistica Sinica, 10.
34. Rao, J.N.K. and Shao, J. (1999). Modified balanced repeated replication for complex survey data. Biometrika, 86, 403-415.
35. Rao, J.N.K. (1999). Conditional inference from survey data: some current issues. Statistica Applicata, 11, 151-164.
36. Rao, J.N.K. and Scott, A.J. (1999). A simple method for analysing overdispersion in clustered Poisson data. Statistics in Medicine, 18, 1373-1385.
37. Rao, J.N.K. (1999). Some current trends in sample survey theory and methods, (with discussion). Sankhya, Series B, 61, 1-54.
38. Rao, J.N.K. (1999). Some recent advances in model-based small area estimation. Survey Methodology, 25, 175-186.
39. Prasad, N.G.N. and Rao, J.N.K. (1999). On robust small area estimation using a simple random effects model. Survey Methodology, 25, 67-72.
40. Rao, J.N.K., Scott, A.J. and Skinner, C.J. (1998). Quasi-score tests with survey data. Statistica Sinica, 8, 1059-1070.
41. Stukel, D.M. and Rao, J.N.K. (1998). On small area estimation under two-fold nested error regression models. Journal of Statistical Planning and Inference, 78, 131-147.
42. Rao, J.N.K. (1997). Developments in sample survey theory: an appraisal. Can. J. Statist. 25, 1-21.
43. Rao, J.N.K. and Sitter, R.R. (1997). Imputation for missing values and corresponding variance estimation. Can. J. Statist., 25, 61-73.
44. Rao, J.N.K. (1996). On variance estimation with imputed survey data. J. Amer. Statist. Assoc. 91, 499-506.
45. Rao, J.N.K. and Shao, J. (1996). On balanced half-sample variance estimation in stratified random sampling. J. Amer. Statist. Assoc., 91, 343-348.

46. Skinner, C.J. and Rao, J.N.K. (1996). Estimation in dual frame surveys with complex designs. J. Amer. Statist. Assoc., 91, 349-356.

47. Rust, K.F. and Rao, J.N.K. (1996). Variance estimation for complex surveys using replication techniques. Statist. Meth. In Med. Res., 5, 283-310.
48. Yung, W. And Rao, J.N.K. (1996). Jackknife linearization variance estimators under stratified multi-stage sampling. Survey Methodology, 22, 23-31.
49. Nigam, A.K. and Rao, J.N.K. (1996). On balanced bootstrap for stratified multistage samples. Statistica Sinica, 6, 199-214.
50. Rao, J.N.K. and Sitter R.R. (1995). Variance estimation under two-phase sampling with application to imputation for missing data. Biometrika, 82, 453-460.
51. Singh, A.C. and Rao, J.N.K. (1995). On the adjustment of gross flows for classification error with application to data from the Canadian Labour Force Survey, J. Amer. Statist. Assoc., 90, 478-488.
52. Rao, J.N.K. and Wang, S. (1995). On the power of F tests under regression models with nested error structure. J. Multivariate Analysis, 53, 237-246.

Lahiri, P. and Rao, J.N.K. (1995). Robust estimation of mean squared error of small area estimators. J. Amer. Statist. Assoc., 90, 758-766.

54. Ghosh, M. and Rao, J.N.K. (1994). Small area estimation: an appraisal (with discussion). Statist. Science, 9, 55-93.

Rao, J.N.K. and Yu, M. (1994). Small area estimation by combining time series and cross-sectional data. Can. J. Statist., 22, 511-528.

56. Fung, K.Y., Krewski, D., Rao, J.N.K. and Scott, A.J. (1994). Tests for trend in developmental toxicity experiments with correlated binary data. Risk Analysis, 14, 639-648.
57. Rao, J.N.K. (1994). Estimation of totals and distributing functions using auxiliary information at the estimation stage. J. Official Statist., 10, 153-165.
58. Rao, J.N.K., Sutradhar, B.C. and Yue, K. (1993). Generalized lest squares F test in regression analysis with two-stage cluster samples. J. Amer. Statist. Assoc., 88, 1388-1391.
59. Kleffe, J. and Rao, J.N.K. (1993). Inadmissibility but near optimality of an estimator of correlated response variance under additive models. J. Statist. Planning and Inference, 36, 151-164.
60. Shao, J. and Rao, J.N.K. (1993). Jackknife inference for heteroscedastic linear regression models. Can. J. Statist., 21, 377-395.
61. Shao, J. and Rao, J.N.K. (1993). Standard errors for low income proportions estimated from stratified multistage samples. Sankhya, Ser. B, 55, 393-414.
62. Rao, J.N.K. and Scott, A.J. (1992). A simple method for the analysis of clustered binary data. Biometrics, 48, 577-585.
63. Rao, J.N.K. and Shao, A.J. (1992). Jackknife variance estimation with survey data under hot deck imputation. Biometrika, 79, 811-822.
64. Rao, J.N.K., Wu, C.F.J. and Yue, K. (1992). Some recent work on resampling methods for complex surveys. Survey Methodology, 18, 209-217.
65. Kleffe, J. and Rao, J.N.K. (1992). Estimation of mean square error of empirical best linear un-biased predictors under a random error variance linear model. J. Multivariate Analysis, 43, 1-15.

Prestigious invited lectures

• Gold Medallist Lecture, Annual Meeting of Statistical Society of Canada, 1993
• Hansen Memorial Lecture, October 1998
• Plenary lecture, Current Topics in Survey Sampling, 1997
• American Statistical Association meetings, 1992-4; 97;98,
• International Statistical Institute Meetings, 1995;
• Annual Research Conference, U.S. Bureau of the Census, 1994;
• International Conference on Measurement Errors, 1994;
• International Conference on Establishment Surveys, 1993;
• Symposium on Statistics for 21st Century, 1998;
• Symposium on Longitudinal Analysis for Complex Surveys, 1998;
• Conference on Conditional Statistical Inference, Italy, 1998.

Research Fellowships

Received Research Achievement Award, Carleton University, 1995-96.

Journal Editorships

Associate Editor, J. Amer. Statist. Assoc., 1992-4; Survey Methodology, 1985- ; Statistica Sinica, 1991-.

Membership on Committees

• Advisory Committee on Statistical Methodology, Statistics Canada, 1985- .
• NSERC Grant Selection Committee, 1989-92.
• Chair, ASA Survey Research Section Committee on Fellows, 1995-96.
• Member, IMS Committee on Special Invited Lectures, 1994-95.
• Panel Member, Committee on Poverty Statistics, National Academy of Science, 1996-

Honours

• Elected Fellow of the Royal Society of Canada, 1991. Part of the citation reads "He has made fundamental contributions to survey sampling, from its foundational principles to complex survey design and analysis. These contributions have influenced the way surveys are conducted and analyzed".
• Awarded 1993 Gold Medal of Statistical Society of Canada in recognition of "fundamental research achievements, especially in the theory and practice of surveys"
• (3) Sessional President, Golden Jubilee Meetings of the Indian Society of Agricultural Statistics, 1996
• Program Chair, International Statistical Institute Meetings, Finland, 1999

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