___

• Ahmed, S. E. and Rohatgi, V. K. Shrinkage estimation of proportion in randomized response, Metrika 43, 17–30, 1996.
• Arnab, R. and Dorffner, G. Randomized response technique for complex survey designs, Statistical Papers 48, 131–141, 2006.
• Bar-Lev, S. K., Bobovitch. E. and Boukai, B. A note on randomized response models, Metrika 60, 255-260, 2004.
• Eichhorn, B. H. and Hayre, L. S. Scrambled randomized response methods for obtaining sensitive quantitative data, Journal of Statistical Planning and inference 7, 307–316, 1983. [5] Espejo R, M. and Singh, H. P. Protection of privacy with objective prior distribution in randomized response, Statistica Anno LXIII (4), 697–701, 2003.
• Greenberg, B. G., Kuebler, R. R. Jr., Abernathy, J. R. and Hovertiz, D. G. Application of the randomized response techniques in obtaining quantitative data, Journal of the American Statistical Associations 66, 243–250, 1971.
• Gupta S., Gupta, B. and Singh, S. Estimation of sensitivity level of personal interview survey questions, Journal of Statistical Planning and Inference 100, 239–247, 2002.
• Gupta S. and Shabbir J. Sensitivity estimation for personal interview survey question, Sta- tistica Anno LXIV (4), 643–653, 2004.
• Hussain, Z. and Shabbir, J. On estimation of mean of a sensitive quantitative variable, InterStat. July (6), 1–14, 2007.
• Hussain, Z. and Shabbir, J. Improved estimation procedure for the mean of a sensitive variable using randomized response model, Pakistan Journal of Statistics 25 (2), 205–220, 2009.
• Hussain, Z., Shabbir, J. and Gupta, S. An alternative to Ryu randomized response model, Journal of Statistics & Management Systems 10 (4), 511–517, 2007.
• Mangat, N. S. and Singh, R. An alternative randomized response procedure, Biometrika 77, 439–442, 1990.
• Mathur, N. and Singh, H. P. Estimation of population mean with prior information using scrambled response technique, Brazilian Journal of Probability and Statistics 22 (2), 165– 181, 2008.
• Mehta, J. S. and Srinivasan, R. Estimation of mean by shrinkage to a point, Journal of the American Statistical Association 66, 86–90, 1971.
• Ryu, J. -B., Kim, J. -M., Heo, T. -Y. and Park, C. G. On stratified randomized response sampling, Model Assisted Statistics and Application 1 (1), 31–36, 2005–2006.
• Saxana, S. Estimation of exponential mean life in complete and failure censored samples with prior information, The Philippine Statistician 53 (1-4), 35–45, 2004.
• Searls, D. T. The utilization of a known coefficient of variation in the estimation procedure, Journal of the American Statistical Association 59, 1225–1226, 1964.
• Shirke, D. T. and Nalawade, K. T. Estimation of the parameter of the binomial distribution in the presence of prior point information, Journal of the Indian Statistical Association 41(1), 117–128, 2003.
• Singh, H. P. and Mathur, N. A revisit to alternative estimator for randomized response technique, Journal of Indian Society of Agricultural Statistics 55 (1), 79–87, 2002.
• Singh, H. P. and Mathur, N. An alternative to an improved randomized response strategy, Statistics in Transition 5 (5), 873–886, 2002.
• Singh, H. P. and Mathur, N. An optimally randomized response technique, Aligarh Journal of Statistics 23, 1–5, 2003.
• Singh, H. P. and Mathur, N. Modified optimal randomized response sampling technique, Journal of Indian Society of Agricultural Statistics 56 (2), 199–206, 2003.
• Singh, H. P. and Mathur, N. Unknown repeated trials in the unrelated question randomized response model, Biometrical Journal 46 (3), 375–378, 2004.
• Singh, H. P. and Mathur, N. Estimation of population mean with known coefficient of vari- ation under optimal randomized response model using scrambled response technique. Sta- tistics in Transition 6 (7), 1079–1093, 2004.
• Singh, H. P. and Mathur, N. Improved estimation of population proportion possessing sensi- tive attribute with unknown repeated trial in randomized response sampling, Statistica Anno LXIV (3), 537–544, 2004.
• Singh, H. P. and Mathur, N. Estimation of population mean when coefficient of variation is known using scrambled randomized response technique, Journal of Statistical Planning & Inference 131 (1), 135–144, 2005.
• Singh, H. P. and Mathur, N. An improved estimation procedure for estimating the proportion of a population possessing sensitive attribute in unrelated question randomized response technique, Brazilian journal of Probability and Statistics 20, 93–110, 2006.
• Singh, H. P. and Mathur, N. An improved estimator for proportion of sensitive group of population using optional randomized response technique, Assam Statistical Review 21 (1), 64–72, 2007.
• Singh, H. P. and Shukla, S. K. A class of shrinkage estimators for the variance of exponential distribution with type-I censoring, IAPQR Transitions 27, 119–141, 2002.
• Thompson, J. R. Some shrinkage techniques for estimating the mean, Journal of the Amer- ican Statistical Association 63, 113–123, 1968.
• Tracy, D. S., Singh, H. P. and Raghuvansh, H. S. Some shrinkage estimators for the variance of exponential density, Microelectronics Reliability 36 (5), 651–655, 1996.
• Tse, S. and Tse, G. Shrinkage estimation of reliability of reliability for exponentially dis- tributed lifetimes, Communication in Statistics-Simulation and Computation 25 (2), 415– 430, 1996.
• Warner, S. L. Randomized response: a survey technique for eliminating evasive answer bias, Journal of the American Statistical Association 60, 63–69, 1965.