1. Tarray, T.A. and H.P. Singh, 2018. A randomization device for estimating a rare sensitive attribute in stratified sampling using Poisson distribution. Afrika Matematika, 29: 407-423.
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2. Tarray, T.A., 2017. Scrutinize on Stratified Randomized Response Technique. GRIN Verlag, Munich, ISBN: 9783668554580.
3. Tarray, T.A., 2017. Gestalt on Randomized Response Technique in Survey Sampling. In: Different Slants Concerning Applied Mathematics and Statistics, Tarray, T.A. (Ed.)., Lambert Academic Publishing, Germany, ISBN: 978-620-2-01852-4.
4. Tarray, T.A., 2017. A New Approach to the Theory of Randomized Response Technique in Survey Sampling. In: Several Inclines regarding Applied Mathematics, Bhat, A.A. (Ed.)., Lambert Academic Publishing, Germany, ISBN: 978-3-659-87174-0.
5. Tarray, T.A., 2017. A New Approach to the Theory of Randomized Response Technique Applying Branch and Bound. In: Copious Slopes Concerning Realistic Mathematics, Ganie, J.A. (Ed.)., Lulu Publishers, USA., ISBN: 9781387197774.
6. Tarray, T.A. and H.P. Singh, 2017. An optional randomized response model for estimating a rare sensitive attribute using Poisson distribution. Commun. Stat. - Theory Methods, 46: 2638-2654.
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7. Tarray, T.A. and H.P. Singh, 2017. An adept-stratified Kuk’s randomized response model using Neyman allocation. Commun. Stat.-Theory Methods, 46: 2870-2881.
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8. Tarray, T.A. and H.P. Singh, 2017. A survey technique for estimating the proportion and sensitivity in a stratified dichotomous finite population. Statist. Applic., 15: 173-191.
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9. Tarray, T.A. and H.P. Singh, 2017. A stratified unrelated question randomized response model using Neyman allocation. Commun. Statist.-Theory Methods, 46: 17-27.
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10. Singh, H.P., S.M. Gorey and T.A. Tarray, 2017. A stratified randomized response model for sensitive characteristics using geometric distribution of order K. Statist. Applic., 15: 147-160.
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11. Singh, H.P. and T.A. Tarray, 2017. An efficient use of moment’s ratios of scrambling variables in a randomized response technique. Commun. Stat. Theory Methods, 46: 521-531.
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12. Singh, H.P. and T.A. Tarray, 2017. A stratified randomized response model for sensitive characteristics using the negative hyper geometric distribution. Commun. Stat. - Theory Methods, 46: 2607-2629.
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13. Singh, H.P. and T.A. Tarray, 2017. A Two - Stage Land et al.’s randomized response model for estimating a rare sensitive attribute using Poisson distribution. Commun. Stat. Theory Methods, 46: 389-405.
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14. Tarray, T.A., 2016. Statistical Sample Survey Methods and Theory. 1st Edn., Elite Publishers, New Delhi, India., ISBN: 978-93-86163-07-03, Pages: 260.
15. Tarray, T.A. and H.P. Singh, 2016. Role of weights in improving the efficiency of Kim and Warde’s mixed randomized response model. Commun. Stat. Theory Methods, 45: 1014-1030.
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16. Tarray, T.A. and H.P. Singh, 2016. New procedures of estimating proportion and sensitivity using randomized response in a dichotomous finite population. J. Modern Applied Statist. Methods, 15: 635-669.
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17. Tarray, T.A. and H.P. Singh, 2016. An adroit randomized response new additive scrambling model. Gazi Univ. J. Sci., 29: 159-165.
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18. Tarray, T.A. and H.P. Singh, 2016. A modified optimal orthogonal new additive model (AMOONAM). Commun. Stat. Theory Methods, 45: 6663-6669.
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19. Tarray T.A. and H.P. Singh, 2016. New scrambling randomized response models. Jord. Jour. Math. Statist., 9: 1-15.
20. Singh, H.P., J.M. Kim and T.A. Tarray, 2016. A family of estimators of population variance in two occasion rotation patterns. Commun. Stat. Theory Methods, 45: 4106-4116.
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21. Singh, H.P. and T.A. Tarray, 2016. An improved BAR-LEV, bobovitch and boukai randomized response model using moments ratios of scrambling variable. Hacettepe J. Math. Statist., 45: 593-608.
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22. Singh, H.P. and T.A. Tarray, 2016. An efficient new “partial” randomized response model. Commun. Stat. Theory Methods, 45: 6611-6624.
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23. Singh, H.P. and T.A. Tarray, 2016. A stratified Tracy and Osahan`s two - stage randomized response model. Commun. Stat. Theory Methods, 45: 3126-3137.
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24. Singh, H.P. and T.A. Tarray 2016. A sinuous stratified unrelated question randomized response model. Commun. Stat. Theory Methods, 45: 6510-6520.
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25. Tarray, T.A., H.P. Singh and Y. Zaizai, 2015. A Dexterous optional randomized response model. Sociological Methods Res., 10.1177/0049124115605332.
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26. Tarray, T.A. and H.P. Singh, 2015. Some improved additive randomized response models utilizing higher order moments ratios of scrambling variable. Model Assist. Stat. Applic., 10: 361-383.
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27. Tarray, T.A. and H.P. Singh, 2015. An adroit Singh and Mathur`s randomization device for estimating a rare sensitive attribute using Poisson distribution. J. Reliab. Stat. Stud., 8: 69-76.
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28. Tarray, T.A. and H.P. Singh, 2015. An Endowed Optional Stratified Unrelated Question Randomized Response Model. In: Statistics and Informatics in Agricultural Research, Sud, U., H. Chandra, L. Bhar and S. Sarkar (Eds.). Excel India Publishers, New Delhi, India., ISBN: 978-93-84899-8-4, pp 17-27.
29. Tarray, T.A. and H.P. Singh, 2015. A stratified randomized response model for sensitivity characteristics using negative binomial distribution. Investigacion Operacionel, 36: 268-279.
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30. Tarray, T.A. and H.P. Singh, 2015. A randomized response model for estimating a rare sensitive attribute in stratified sampling using Poisson distribution. Model Assist. Statist. Applic., 10: 345-360.
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31. Tarray, T.A. and H.P. Singh, 2015. A general procedure for estimating the mean of a sensitive variable using auxiliary information. Investigacion Operacionel, 36: 249-279.
32. Singh, H.P., R. Goli and T.A. Tarray, 2015. Study of Yadav and Kadilar`s improved exponential type ratio estimator of population variance in two-phase sampling. Hacettepe J. Math. Stat., 44: 1257-1270.
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33. Singh, H.P., M.K. Srivastava, N. Srivastava, T.A. Tarray, V. Singh and S. Dixit, 2015. Chain regression-type estimator using multiple auxiliary information in successive sampling. Hacettepe J. Math. Stat., 44: 1247-1256.
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34. Singh, H.P. and T.A. Tarray, 2015. Two-stage stratified partial randomized response strategies. Commun. Stat.-Theory Methods. 10.1080/03610926.2013.804571.
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35. Singh, H.P. and T.A. Tarray, 2015. On the use of randomization device for estimating the proportion and truthful reporting of a qualitative sensitive attribute. Pak. J. Stat. Oper. Res., 11: 29-40.
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36. Singh, H.P. and T.A. Tarray, 2015. An optional randomized response model for estimating a rare sensitive attribute using Poisson distribution. Commun. Stat. Theory Methods, 10.1080/03610926.2015.1040506.
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37. Singh, H.P. and T.A. Tarray, 2015. An adept stratified kuk`s randomized response model using neyman allocation. Commun. Stat. Theory Methods, 10.1080/03610926.2015.1053933.
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38. Singh, H.P. and T.A. Tarray, 2015. A stratified randomized response model for sensitive characteristics using the negative hyper geometric distribution. Commun. Stat. Theory Methods, 10.1080/03610926.2015.1010007.
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39. Singh, H.P. and T.A. Tarray, 2015. A revisit to the Singh, Horn, Singh and Mangat’s randomization device for estimating a rare sensitive attribute using Poisson distribution. Model Assist. Statist. Appl., 10: 129-138.
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40. Sing, H.P., N. Sharma and T.A. Tarray, 2015. An efficient class of two-phase exponential ratio and product - type estimators for estimating the finite population mean. J. Stat. Appl. Prob., 2: 71-88.
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41. Hussain, Z., M.M. Al-Sobhi, B. Al-Zahrani, H.P. Singh and T.A. Tarray, 2015. Improved randomized response approaches for additive scrambling models. Math. Popul. Stud., 23: 205-221.
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42. Tarray, T.A. and H.P. Singh, 2014. A Proficient randomized response model. Istatistika J. Turkey Statist. Assoc., 7: 87-98.
43. Singh, H.P. and T.A. Tarray, 2014. An improvement randomized response additive model. Sri. J. Appl. Stat., 15: 131-138.
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44. Singh, H.P. and T.A. Tarray, 2014. An improvement over Kim and Elam stratified unrelated question randomized response model using neyman allocation. Sankhya B, 77: 91-107.
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45. Singh, H.P. and T.A. Tarray, 2014. An improved mixed randomized response model. Model Assisted Stat. Appl., 9: 73-87.
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46. Singh, H.P. and T.A. Tarray, 2014. An efficient alternative mixed randomized response procedure. Sociological Methods Res., 44: 706-722.
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47. Singh, H.P. and T.A. Tarray, 2014. An alternative to stratified Kim and Warde's randomized response model using optimal (Neyman) allocation. Model Assisted Stat. Appl., 9: 37-62.
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48. Singh, H.P. and T.A. Tarray, 2014. An alternative estimator in stratified RR strategies. J. Reliab. Stat. Stud., 7: 105-118.
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49. Singh, H.P. and T.A. Tarray, 2014. An adroit stratified unrelated question randomized response model using Neyman allocation. Sri. J. Appl. Stat., 15: 83-90.
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50. Singh, H.P. and T.A. Tarray, 2014. A stratified Mangat and Singh`s optional randomized response model using proportional and optimal allocation. Statistica, 74: 65-83.
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51. Singh, H.P. and T.A. Tarray, 2014. A modified mixed randomized response model. Stat. Transition Ser., 15: 67-82.
52. Singh, H.P. and T.A. Tarray, 2014. A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution. Stat. Probab. Lett., 90: 42-45.
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53. Singh, H.P. and T.A. Tarray, 2013. An alternative to Kim and Warde's mixed randomized response technique. Stataistica, 73: 379-402.
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54. Singh, H.P. and T.A. Tarray, 2013. An alternative to Kim and Warde's mixed randomized response model. Statist. Operat. Res. Trans., 37: 189-210.
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55. Singh, H.P. and T.A. Tarray, 2013. A modified survey technique for estimating the proportion and sensitivity in a dichotomous finite population. Int. J. Adv. Sci. Tech. Res., 3: 459-472.
56. Singh, H.P. and T.A. Tarray, 2012. A stratified unknown repeated trials in randomized response sampling. Commun. Stat. Applic. Methods, 19: 751-759.
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