Quantile estimation in two-phase sampling

Computational Statistics and Data Analysis

Volumn 51, Issue 5, 2007, Pages 2559-2572

  Rueda, María del Mar ^a   Arcos, Antonio ^a   Muñoz, Juan Francisco ^a   Singh, Sarjinder ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b ST CLOUD STATE UNIVERSITY   (United States)

Author keywords

Auxiliary information; Finite population quantiles; Stratified random sampling; Two phase sampling

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; RANDOM PROCESSES; SAMPLING; STATISTICAL METHODS;

AUXILIARY INFORMATION; FINITE POPULATION QUANTILES; STRATIFIED RANDOM SAMPLING; TWO-PHASE SAMPLING;

PROBABILITY DISTRIBUTIONS;

EID: 33751010440     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.01.002     Document Type: Article

References (18)

1. Allen, J., Singh, H.P., Singh, S., Smarandache, F., 2002. A general class of estimators of population median using two auxiliary variables in double sampling. INTERSTAT.
2. Chambers R.L., and Dunstan R. Estimating distribution functions from survey data. Biometrika 73 (1986) 597-604
3. Chen J., and Wu C. Estimation of distribution function and quantiles using the model-calibrated pseudo-empirical likelihood method. Statist. Sin. 12 (2002) 1223-1239
4. Fernández F.R., and Mayor J.A. Muestreo en Poblaciones Finitas: Curso Básico (1994), P.P.U, Barcelona
5. Horvitz D.G., and Thompson D.J. A generalization of sampling without replacement from a finite universe. J. Amer. Statist. Assoc. 47 (1952) 663-685
6. Kuk A., and Mak T.K. Median estimation in the presence of auxiliary information. J. Roy. Statist. Soc. B 1 (1989) 261-269
7. Rao J.N.K., Kovar J.G., and Mantel H.J. On estimating distribution functions and quantiles from survey data using auxiliary information. Biometrika 77 (1990) 365-375
8. Royall R.M., and Cumberland W.G. An empirical study of the ratio estimator and estimator of its variance. J. Amer. Statist. Assoc. 76 (1981) 66-88
9. Rueda M., and Arcos A. On estimating the median from survey data using multiple auxiliary information. Metrika 54 (2001) 59-76
10. Rueda M., Arcos A., and Artés E. Quantile interval estimation in finite population using a multivariate ratio estimator. Metrika 47 (1998) 203-213
11. Rueda M., Arcos A., and Martínez-Miranda M.D. Difference estimators of quantiles in finite populations. Test 12 (2003) 481-496
12. Rueda M., Arcos A., Martínez-Miranda M.D., and Román Y. Some improved estimators of finite population quantile using auxiliary information in sample surveys. Comput. Statist. Data Anal. 45 (2004) 825-848
13. Särndal C.E., Swensson B., and Wretman J. Model Assisted Survey Sampling (1992), Springer, New York
14. Silverman B.W. Density Estimation for Statistics and Data Analysis (1986), Chapman & Hall, London
15. Singh S., Joarder A.H., and Tracy D.S. Median estimation using double sampling. Austral. New Zealand J. Statist. 43 (2001) 33-46
16. Singh S. Advanced Sampling Theory with Applications: How Michael "Selected" Amy (2003), Kluwer Academic Publisher, The Netherlands
17. Swamy P.A.V.B., Tavlas G.S., and Chang I.L. How stable are monetary policy rules: estimating the time-varying coefficients in monetary policy reaction function for the US. Comput. Statist. Data Anal. 49 (2005) 575-590
18. Valliant, R., Dorfman, A.H., Royall, R.M., 2000. Finite Population Sampling and Inference: A Prediction Approach. Wiley Series in Probability and Statistics, Survey Methodology Section. Wiley, New York.