Dr. A. Rajarathinam

Professor
Manonmaniam Sundaranar University, India

Highest Degree
Ph.D. in Agricultural Statistics from Gujarat Agricultural University, Gujarat, India

My URL
https://livedna.org/91.27341

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Area of Interest:

Mathematics
Mathematical Applications
Mathematical Logic
Mathematical Sciences
Mathematical Programming

Selected Publications

  1. Rajarathinam, A. and M. Sindu, 2019. Construction of un-equally replicated optimal pair wise balanced design. Int. J. Stat. Econ., 20: 111-123.

  2. Thirunavukkarasu, M.J. and A. Rajarathinam, 2018. Stochastic modeling for milk production. Res. J. Anim. Husbandry Dairy Sci., 9: 26-35.

  3. Rajarathinam, A. and D. Balamurugan, 2018. Econometric modeling for Indian stock prices and exchange rates. Res. J. Econ. Bus.Stud., 7: 16-24.

  4. Lakshmi, S.M., A. Rajarathinam and D.K. Ghosh, 2018. Construction of supersaturated design based on fractional factorial design. Int. J. Agric. Stat. Sci., 14: 387-390.

  5. Khokhar, A.N. and A. Rajarathinam, 2018. Canonical correlation modeling for egg production traits and body weight, egg weight and age at sexual maturity. Int. J. Agric. Stat. Sci., 14: 405-408.

  6. Balamurugan, D., B. Manikandan and A. Rajarathinam, 2018. Econometric modeling for oil sectors stock prices time series data. Res. Rev.: J. Stat., 7: 27-34.

  7. Arunachalam, R. and D. Balamurugan, 2018. Cointegration and error correaction modeling for BSE and NSE stock prices time series data. Res. Rev.: Discrete Math. Struct., 4: 30-41.
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  8. Vetriselvi, R. and A. Rajarathinam, 2017. Vector of auto-regressive modeling for agricultural crop production. Res. Rev.: Discrete Math. Struct., 4: 30-41.

  9. Rajarathinam, A., S. Mahalakshmi and D.K. Ghosh, 2017. Construction of efficiency balanced design with repeated blocks. Int. J. Curr. Adv. Res., 6: 4463-4471.

  10. Rajarathinam, A., A. Radhika and S. Mahalakshmi, 2017. Construction of binary and ternary variance balanced block designs. Int. J. Stat. Econ., 18: 72-81.

  11. Rajarathinam, A. and R. Vetriselvi, 2017. Modeling cereals crop production based on parametric and nonparametric models. Int. J. Agric. Stat. Sci., 13: 17-28.

  12. Rajarathinam, A. and R. Vetriselvi, 2017. Modeling and monitoring of paddy production in southern districts of Tamil Nadu. Int. J. Agric. Stat. Sci., 13: 181-190.

  13. Vinoth, B., A. Rajarathinam and M. Bargavi, 2016. Nonlinear regression and artificial neural network based model for forecasting paddy (Oryza sativa) production in Tamil Nadu. IOSR J. Mobile Comput. Applic., 3: 1-6.

  14. Rajarathinam, A., S. Mahalakshmi and D.K. Ghosh, 2016. Construction of pairwise balanced design. J. Modern Applied Stat. Methods, 15: 193-205.

  15. Rajarathinam, A., S. Mahalakshmi and D.K. Ghosh, 2016. Construction of efficiency-balanced design using factorial design. J. Modern Applied Stat. Methods, 15: 239-254.
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  16. Rajarathinam, A., S. Mahalakshmi and D.K. Ghosh, 2016. Construction of efficiency balanced design with repeated blocks. Int. J. Agric. Stat. Sci., 12: 301-306.

  17. Rajarathinam, A., R. Vetriselvi and D. Balamurugan, 2016. Unobserved components model for forecasting wheat production. Int. J. Agric. Stat. Sci., 12: 161-167.

  18. Rajarathinam, A., A. Radhika and C.C. Gujarathi, 2016. Construction of variance balanced block design based on fractional factorials. Far East J. Theor. Stat., 52: 17-33.

  19. Rajarathinam, A. and M. Manoharan, 2016. Stochastic model for estimating the expected time to recruitment based on lindly distribution. J. Reliab. Stat. Stud., 9: 1-10.

  20. Parmar, R.S., A. Rajarathinam, H.K. Patel and K.V. Patel, 2016. Statistical modeling on area, production and productivity of cotton (Gossypium spp.) crop for Ahmedabad Region of Gujarat State. J. Pure Applied Microbiol., 10: 751-759.

  21. Manoharan, M. and A. Rajarathinam, 2016. A stochastic model for estimation of expected time to elapsed time of recruitment using two grade manpower systems. Int. J. Agric. Stat. Sci., 12: 21-26.

  22. Vinoth, B. and A. Rajarathinam, 2014. Outlier detection in simple linear regression models and robust regression-a case study on wheat production data. Int. J. Scient. Res., 3: 11-16.
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  23. Thirunavukkarasu, M. and A. Rajarathinam, 2014. Stochastic modeling for forecasting of India’s milled rice production. Int. J. Scient. Res., 3: 7-10.
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  24. Rajarathinam, A., A. Radhika and D.K. Ghosh, 2014. Variance balanced design and its optimality. Int. J. Agric. Stat. Sci., 10: 43-48.

  25. Rajarthinam, A. and M. Thriunavukkarasu, 2013. Structural changes in sugarcane production. Int. J. Stat. Syst., 3: 449-456.

  26. Rajarthinam, A. and M. Thriunavukkarasu, 2013. Fuzzy time series modeling for paddy (Oryza sativa L.) crop production. Am. J. Math. Stat., 3: 268-280.

  27. Rajarathinam, A. and B. Vinoth, 2013. Computations of jump points in tobacco (Nicotiana tabacum) crop production. Int. J. Prob. Stat., 2: 13-20.

  28. Rajarathinam, A. and B. Vinoth, 2012. Statistical modeling on wheat (Triticum aestivum) crop production in India based on non-linear and nonparametric regression models. Int. J. Stat. Applic., 2: 42-46.

  29. Rajarathinam, A., A.N. Khokhar, P.R. Vaishnav and S.K. Dixit, 2011. Statistical modeling to group villages based on soil parameters. J. Ind. Soc. Agric. Stat., 65: 339-346.

  30. Rajarathinam, A. and R.S. Parmar, 2011. Application of parametric and nonparametric regression models for area, production and productivity trends of castor (Ricinus communis L.) crop. Asian J. Applied Sci., 4: 42-52.
    CrossRef  |  Direct Link  |  

  31. Arunachalam, R. and V. Balakrishnan, 2011. Trends, growth rate and jump point analyses for the area, production and productivity of Mustard (Brassica juncea L. Czern.) crops. J. Stat. Applic., 6: 159-174.
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  32. Rajarathinam, A., R.S. Parmar and P.R. Vaishnav, 2010. Estimating models for area, production and productivity trends of tobacco (Nicotiana tabacum) crop for Anand Region of Gujarat State, India. J. Applied Sci., 10: 2419-2425.
    CrossRef  |  Direct Link  |  

  33. Rajarathinam, A., N. Khokhar and S.K. Dixit, 2010. Statistical modeling on grouping vilages of Kadana Taluka based on soil parameters. Int. J. Agric. Stat. Sci., 6: 423-430.

  34. Khokhar, A.N., A. Rajarathinam, S.K. Dixit, D.J. Parmar and P.R. Vaishnav, 2009. Clustering of villages based on soil parameter. Int. J. Trophical Agric., 27: 21-24.

  35. Bhagyashree, S.D. and A. Rajarathinam, 2009. Statistical modelling on area, production and productivity trends of bajra crop grown in Gujarat state. Int. J. Trop. Agric., 27: 291-296.

  36. Rajarathinam, A., S.K. Dixit and P.R. Vaishnav, 2007. Fitting of sorghum (Sorghum bicolor) yield trends in long-term fertilizer experiment. Crop Res., 34: 57-63.

  37. Rajarathinam, A., S.K. Dixit and P.R. Vaishnav, 2007. Application of nonparametric regression in fitting trend in long-term fertilizer experiment. Int. J. Agric. Stat. Sci., 3: 17-24.

  38. Rajarathinam, A., M.A. Shekh, G. Govindaraj and S.K. Dixit, 2007. Nutrient dynamics and yield of groundnut (Arachis hypogeal) in groundnut-wheat-fodder sorghum cropping sequence. Int. J. Trophical Agric., 25: 1027-1035.

  39. Rajarathinam, A. and S.K. Dixit, 2007. Yield dynamics of wheat (Triticum aestivum L.) crop in paddy-wheat-green gram cropping sequence in long-term experiment. Int. J. Trophical Agric., 25: 625-635.

  40. Rajarathinam, A and S.K. Dixit, 2007. Fitting of groundnut yield trends in long-term fertilizer experiment-A time-series model approach. Crop Res., 34: 92-96.

  41. Bhagyashree, D. and A. Rajarathinam, 2007. Statistical modeling of green gram (Phaseolus aureus) yield trend in paddy-wheat-green gram cropping sequence. Int. J. Trophical Agric., 25: 427-435.
Member since March, 2019