A Bivariate Exponential distribution model for growth hormone response to repeated maximal cycle ergometer exercise at different pedaling rates.

Abstract

In this paper, we introduce the bivariate exponential distribution model approach to probability modeling. Our results leads to exponential model characterization of many well known life time model to the development of application part. Here we investigate the growth hormone (GH) response to repeated bout of maximal sprint cycling and the effect of cycling at different pedaling rates on post exercise serum GH concentrations by exponential model relative to the bivariate exponential distribution. The application part is well fitted with the mathematical model and conclusion is compared with the medical report.

Authors and Affiliations

K. Dasunaidu, A. Manickam, M. Gayathri

Keywords

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  • EP ID EP392821
  • DOI 10.9790/9622-0711032833.
  • Views 73
  • Downloads 0

How To Cite

K. Dasunaidu, A. Manickam, M. Gayathri (2017). A Bivariate Exponential distribution model for growth hormone response to repeated maximal cycle ergometer exercise at different pedaling rates.. International Journal of engineering Research and Applications, 7(11), 28-33. https://europub.co.uk/articles/-A-392821