Dr. Tanveer Ahmad Tarray

Dr. Tanveer Ahmad Tarray

Assistant Professor
Islamic University of Science and Technology, India


Highest Degree
Ph.D. in Statistics from Vikram University, India

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Biography

Dr. Tanveer Ahmad Tarray is currently working as Research Scholar. He obtained his Ph.D. in Statistics from Vikram University, India. His area of expertise includes Statistics, Sampling Technique, and Randomized Response Technique. He has published 5 articles in journals, 3 in proceeding and 7 accepted for publication.

Area of Interest:

Statistics
100%
Mathematics and Statistics
62%
Applied Probability
90%
Operation Research
75%
Probability Distribution
55%

Selected Publications

  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.
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  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.
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  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.
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  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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