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A Stratified Unknown Repeated Trials in Randomized Response Sampling
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 Title & Authors
A Stratified Unknown Repeated Trials in Randomized Response Sampling
Singh, Housila P.; Tarray, Tanveer Ahmad;
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 Abstract
This paper proposes an alternative stratified randomized response model based on the model of Singh and Joarder (1997). It is shown numerically that the proposed stratified randomized response model is more efficient than Hong et al. (1994) (under proportional allocation) and Kim and Warde (2004) (under optimum allocation).
 Keywords
Randomized response technique;stratified random sampling;proportional allocation;optimum allocation;
 Language
English
 Cited by
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 References
1.
Cochran, W. G. (1977). Sampling Technique, 3rd Edition, John Wiley & Sons, New York.

2.
Hong, K., Yum, J. and Lee, H. (1994). A stratified randomized response technique, Korean Journal of Applied Statistics, 7, 141-147.

3.
Kim, J.-M. and Warde, W. D. (2004). A Stratified Warner's randomized response model, Journal of Statistical Planning and Inference, 120, 155-165. crossref(new window)

4.
Mahajan, P. K., Gupta, J. P. and Singh, R. (1994). Determination of optimum strata boundaries for scrambled responses, Statistica, 3, 375-381

5.
Mangat, N. S. (1994). An improved randomized response strategy, Journal of the Royal Statistical Society, B56, 93-95.

6.
Mangat, N. S. and Singh, R. (1990). An alternative randomized procedure, Biometrika, 77, 439-442. crossref(new window)

7.
Singh, R. and Mangat, N. S. (1996). Elements of Survey Sampling, Kluwer Academic Publishers, Dordrecht, The Netherlands.

8.
Singh, S. and Joarder, H. A. (1997). Unknown repeated trials in randomized response sampling, Journal of Indian social Agricultural Statistics, 50, 103-105.

9.
Singh, S., Singh, R., Mangat, N. S. and Tracy, D. S. (1994). An alternative device for randomized responses, Statistica, 54, 233-243.

10.
Warner, S. L. (1965). Randomized response, A survey technique for eliminating evasive answer bias, Journal of American Statistical Association, 60, 63-69. crossref(new window)