IJSRP, Volume 3, Issue 2, February 2013 Edition [ISSN 2250-3153]
Subbiah, M, Kamal Nasir, V, Srinivasan, M.R, Naveed, MS
Bayesian statistics is becoming an important statistical tool for practitioners to deal with analysis of complex data and complicated statistical models. The impact of Bayesian analysis in combination with Markov Chain Monte Carlo (MCMC) technology is realized optimally in the domain of applications. The ecological data could be a storehouse of natural history and experimental data is used to address hidden uncertainty. Bayesian inference could be the most straightforward and natural way of analyzing and interpreting the related ecological hypotheses. This study basically aims to exploit the inbuilt advantages of Bayesian approach in studying the prevalence of Meiofaunal population from the data collected at five different (Pulicat, Royapuram, Napier, Marina, Adyar) coastal areas of Chennai, India.
Subbiah, M, Kamal Nasir, V, Srinivasan, M.R, Naveed, MS (2018); Bayesian Ecometrics – A genial device to ponder Ecological Data Analysis;
Int J Sci Res Publ 3(2) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0213.php?rp=P14723