Dr. Gyan Prakash
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Dr. Gyan Prakash

Professor (Statistics)
Department of Community Medicine Moti Lal Nehru Medical College Prayagraj, Uttar Pradesh India

Highest Degree
Ph.D. in Statistical Inference from Veer Bahadur Singh Purvanchal University, India

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Biography

Dr. Gyan Prakash is currently working as Professor (Statistics) in the Community Medicine Department at MLN Medical College, Prayagraj. He obtained his Ph.D. in Bayesian Statistics. His area of expertise includes Baysian, Inference, Testing, Estimation and Simulation. He has published more than 95 research papers in journals, in which more than 80 have been published in International Journals.

Area of Interest:

Bayesian Inference
100%
Bayesian Statistics
62%
Probability
90%
Inference
75%
Estimation
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Dwivedi, G., R. Singh, S. Ram, S. Prakash, G. Prakash and D. Anand, 2023. A study to assess knowledge, attitude and practices on the basis of scoring related to bio-medical waste management among health-care personnel in secondary care hospitals of Prayagraj, District. Indian J. Public Health Res. Dev., 14: 89-95.
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  2. Singh, S., K. Parveen, G. Prakash and R. Singh, 2022. Psychological health and its determinants among elderlies of prayagraj. Indian J. Public Health Res. Dev., 13: 309-314.
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  3. Prakash, G., 2022. Bayes prediction on optimum SS-PALT in generalized inverted exponential distribution: A two-sample approach. Austrian J. Stat., 51: 1-15.
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  4. Prakash, G., 2021. Pareto distribution under hybrid censoring: Some estimation. J. Mod. Appl. Stat. Methods, Vol. 19. 10.22237/jmasm/1619481660.
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  5. Kesarwani, R., A. Singh, V. Singh and G. Prakash, 2021. Study of association of age at presentation with outcome in patients with head-and-neck cancer. J. Clin. Sci. Res., 10: 79-84.
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  6. Dwivedi, M.K., S. Bakshi, B.S. Shyam, R. Shukla, P.K. Singh and N.K. Sharma, 2021. Prevalence and associated factors of malaria in Pushparajgarh block of district Anuppur, Madhya Pradesh, India. Int. J. Community Med. Public Health, 8: 1221-1229.
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  7. Prakash, G., 2020. Pareto type-II model under type-I progressive hybrid censoring: Bound lengths. Austrian J. Stat., 49: 45-59.
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  8. Prakash, G., 2019. Step-stress partially accelerated life test for rayleigh distribution: Some inference. Int. J. Intell. Technol. Appl. Stat., 12: 251-265.
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  9. Prakash, G. and M.K. Mishra, 2019. SS-PALT combined with type-I progressive hybrid burr type-XII data for bayes estimation. Int. J. Intell. Technol. Appl. Stat., 12: 395-416.
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  10. Gupta, P., A.K. Chaurasia, A. Mishra and G. Prakash, 2018. Study of prevalence of dyslipidemia in newly diagnosed essential hypertension. Int. J. Contem. Med. Surg. Radiol., 3: 95-98.
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  11. Prakash, G., 2017. Some Bayes estimators for Pareto type-II progressive censored data. Electron. J. Applied Stat. Anal., 10: 257-270.
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  12. Prakash, G., 2017. Progressive censored burr type-XII distribution under random removal scheme: Some inferences. Afrika Statistika, 12: 1273-1284.
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  13. Prakash, G., 2017. First failure progressive censored Weibull data under Bayesian analysis. Stat. Res. Lett., 6: 1-8.
  14. Prakash, G., 2017. Confidence limits for progressive censored Burr type-XII data under constant-partially ALT. J. Stat. Applied Prob., 6: 295-303.
  15. Prakash, G., 2017. Bound lengths for Burr-XII distribution under step-stress PALT. Int. J. Sci. World, 5: 135-140.
  16. Prakash, G., 2017. A Bayesian shift point estimation under right censored Weibull failure model. Int. J. Intell. Technol. Applied Statist., 10: 19-31.
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  17. Kaushal, S.K., M. Kaushal, G. Prakash and S.K. Misra, 2017. Perception and behavior of urban women regarding fertility: A cross sectional study. Int. J. Commun. Med. Public Health, 3: 1573-1578.
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  18. Prakash, G., 2016. Some inference on progressive censored Gompertz data under random scheme. Int. J. Sci. Res., 6: 290-299.
  19. Prakash, G., 2016. Empirical bayes procedures under Lomax record data. J. Applied Math. Stat., 3: 182-197.
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  20. Prakash, G., 2016. Bound lengths based on empirical Bayesian scenario for a Repairable system. Int. J. Math. Sci. Comp., 6: 36-39.
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  21. Prakash, G., 2016. Bayes prediction under progressive type-II censored Rayleigh data. J. Stat. Appl. Prob., 5: 1-11.
  22. Prakash, G., 2016. Bayes prediction bound lengths under different censoring criterion: A comparative study. Int. J. Intell. Technol. Applied Statist., 9: 53-66.
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  23. Prakash, G., 2016. BPBL under progressively pooled censored Rayleigh data. J. Applied Math. Stat., 3: 99-109.
  24. Kaushal, S.K., V. Gupta, G. Prakash and S.K. Misra, 2016. Correlates of metabolic syndrome and prevalence among urban population of Agra, Uttar Pradesh, India. Int. J. Commun. Med. Pub. Health, 3: 3570-3575.
  25. Prakash, G., 2015. Shrinkage bayesian approach in item-failure gamma data in presence of prior point guess value. Int. J. Math. Sci. Comp., 5: 19-26.
  26. Prakash, G., 2015. Reliability performances based on empirical Bayes censored Gompertz data. Int. J. Adv. Res., 3: 1297-1307.
  27. Prakash, G., 2015. Progressively censored Rayleigh data under Bayesian estimation. Int. J. Intell. Technol. Applied Statist., 8: 257-273.
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  28. Prakash, G., 2015. Bayesian analysis under progressively censored Rayleigh data. J. Mod. Applied Stat. Methods, 14: 110-122.
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  29. Prakash, G., 2015. Bayes prediction bound lengths for a Repairable system. Chilean J. Stat., 6: 19-30.
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  30. Prakash, G., 2015. A comparative study under progressively first failure censored Rayleigh data. J. Reliab. Stat. Stud., 8: 147-157.
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  31. Prakash, G., 2015. A comparative study based on bayes estimation under progressively censored rayleigh data. J. Statist. Applic. Probab., 4: 23-30.
  32. Prakash, G., 2015. A comparative study based on Bayes estimation under different censoring criterion. J. Data Sci., 13: 261-280.
  33. Kaushal, M., S.K. Misra, S.K. Kaushal, G. Prakash and A. Kumar, 2015. Unmet need of family planning in a district of western Uttar Pradesh. Indian J. Commun. Health, 27: 230-234.
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  34. Agarwal, D., S.K. Misra, S.S. Chaudhary and G. Prakash, 2015. Are we underestimating the real burden of malnutrition? An experience from community-based study. Indian J. Commun. Med., 40: 268-272.
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  35. Prakash, G., 2014. Shift point Bayes estimation under Weibull failure model. Electron. J. Applied Stat. Anal., 7: 375-393.
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  36. Prakash, G., 2014. Right censored Bayes estimator for Lomax model. Stat. Res. Lett., 3: 23-28.
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  37. Prakash, G., 2014. Change point estimation for Pareto type-II model. J. Mod. Applied Stat. Methods, 13: 339-353.
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  38. Prakash, G., 2014. Bayes prediction bounds for right ordered Pareto type-II data. J. Stat. Applic. Probab., 3: 335-343.
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  39. Prakash, G., 2013. Bayes estimation in the inverse Rayleigh model. Electron. J. Applied Stat. Anal., 6: 67-83.
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  40. Prakash, G., 2013. A different approach in the shrinkage estimation for the Rayleigh model. Stat. Res. Lett., 2: 75-83.
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  41. Prakash, G. and S. Kumar, 2013. Two sample Bayes prediction scenario under right censored repairable system. Stat. Optimiz. Inform. Comput., 1: 29-40.
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  42. Prakash, G. and D.C. Singh, 2013. Bayes prediction intervals for the Pareto model. J. Probability Stat. Sci., 11: 109-122.
  43. Prakash, G., 2012. Inverted exponential distribution under a Bayesian viewpoint. J. Mod. Applied Stat. Methods, 11: 190-202.
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  44. Prakash, G., 2012. Central coverage Bayes prediction intervals for the generalized Pareto distribution. Stat. Res. Lett., 1: 1-5.
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  45. Prakash, G., 2012. Bayes estimation for a mixture of the Weibull distributions. Int. J. Math. Scient. Comput., 2: 34-38.
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  46. Prakash, G., 2011. Some Bayes estimators for the repairable system. Model Assisted Stat. Applic., 6: 57-62.
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  47. Prakash, G., 2011. Bayes shrinkage minimax estimation in inverse Gaussian distribution. Applied Math., 2: 830-835.
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  48. Prakash, G., 2010. Shrinkage estimation in the inverse Rayleigh distribution. J. Mod. Applied Stat. Methods, 9: 209-220.
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  49. Prakash, G., 2010. On Bayesian shrinkage setup for item failure data under a family of life testing distribution. J. Mod. Applied Stat. Methods, 9: 547-557.
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  50. Prakash, G. and D.C. Singh, 2010. Sometimes pooled testimation in the inverse Gaussian model for measure of dispersion. J. Scient. Res., 2: 77-86.
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  51. Prakash, G. and B.N. Pandey, 2010. Shrinkage estimation of the variance for the exponential type-II censored data. Int. J. Stat. Syst., 5: 251-263.
  52. Prakash, G. and B. Prasad, 2010. Bayes prediction intervals for the Rayleigh model. Model Assisted Stat. Applic., 5: 43-50.
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  53. Prakash, G., 2009. Some estimators for the Pareto distribution. J. Scient. Res., 1: 236-247.
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  54. Prakash, G., 2009. Some estimation procedures for the inverted exponential distribution. South Pac. J. Nat. Sci., 27: 71-78.
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  55. Prakash, G. and D.C. Singh, 2009. Some shrinkage testimators for the scale parameter of Weibull distribution. Indian Assoc. Prod. Qual. Reliab., 34: 49-70.
  56. Prakash, G. and D.C. Singh, 2009. Shrinkage test-estimation for measure of dispersion in the inverse Gaussian model. J. Applied Stat. Sci., 17: 93-106.
  57. Prakash, G. and D.C. Singh, 2009. Estimation of the Weibull shape parameter in failure censored sampling under the LINEX loss. METRON-Int. J. Stat., 67: 31-50.
  58. Prakash, G. and D.C. Singh, 2009. Double stage shrinkage testimation in exponential type-II censored data. Stat. Transition-New Ser., 10: 235-250.
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  59. Prakash, G. and D.C. Singh, 2009. Bayesian shrinkage estimation in a class of life testing distribution. Data Sci. J., 8: 243-258.
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  60. Prakash, G. and D.C. Singh, 2009. A Bayesian shrinkage approach in Weibull Type-II censored data using prior point information. REVSTAT-Stat. J., 7: 171-187.
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  61. Prakash, G., D.C. Singh and S.K. Sinha, 2008. On shrinkage estimation for the scale parameter of Weibull distribution. Data Sci. J., 7: 125-136.
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  62. Prakash, G., D.C. Singh and B.N. Pandey, 2008. Some shrunken testimators for the variance of a normal distribution in double stage samples under an asymmetric loss function. J. Probab. Stat. Sci., 6: 135-154.
  63. Prakash, G. and D.C. Singh, 2008. Shrinkage estimation in exponential type-II censored data under LINEX loss. J. Korean Stat. Soc., 37: 53-61.
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  64. Prakash, G. and D.C. Singh, 2008. Item failure data of Weibull failure model under Bayesian estimation. J. Stat. Res., 42: 131-140.
  65. Singh, D.C., G. Prakash and P. Singh, 2007. Shrinkage testimators for the shape parameter of Pareto distribution using LINEX loss function. Commun. Stat.-Theory Methods, 36: 741-753.
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  66. Prakash, G. and B.N. Pandey, 2007. Shrinkage testimation for the variance of a Normal distribution under asymmetric loss function. J. Stat. Res., 41: 17-35.
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  67. Prakash, G. and B.N. Pandey, 2007. Shrinkage estimation for logarithm of variance of a normal distribution under LINEX loss function. Indian Assoc. Prod. Qual. Reliab., 32: 43-56.
  68. Prakash, G., D.C. Singh and R.D. Singh, 2006. Some test estimators for the scale parameter of classical Pareto distribution. J. Stat. Res., 40: 41-54.
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  69. Prakash, G. and D.C. Singh, 2006. Shrinkage testimators for the inverse dispersion of the inverse Gaussian distribution under the LINEX loss function. Austrian J. Stat., 35: 463-470.
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