On Parameter Estimation by Aggregated Poisson Observations


  • Elhadji Ousseynouu Accrachi
  • Cherif Ahmat Tidiane Aidara
  • Ali S. Dabye


Parameter estimation, minimum chi-squared estimator, agregated Poisson observations, intensity function, consistency, asymptotic normality


We consider the problem of parameter estimation by the observations of inhomogeneous Poisson processes. The intensity function of the process is supposed to be a smooth function with respect to the unknown parameter. We propose a Chi-square statistic on the base of agregated observations and we define a Minimum Chi-square Estimator with the help of this statistics. We show this that estimator is consistent and asymptotically normal. We discuss possible generalizations of the obtained results.




How to Cite

Accrachi, E. O., Aidara, C. A. T., & Dabye, A. S. (2019). On Parameter Estimation by Aggregated Poisson Observations. Armenian Journal of Mathematics, 11(5), 1–13. Retrieved from http://armjmath.sci.am/index.php/ajm/article/view/257