@article {10.3844/jmssp.2012.403.412,
article_type = {journal},
title = {Kernel Type Estimator and Statistical Properties for Intensity Function of  Periodic Poisson Process with Power Function Trend},
author = {Rachmawati, Ro’fah Nur},
volume = {8},
year = {2012},
month = {Nov},
pages = {403-412},
doi = {10.3844/jmssp.2012.403.412},
url = {https://thescipub.com/abstract/jmssp.2012.403.412},
abstract = {Problem statement: In this study, we construct the estimation for a periodic component of the intensity function of a periodic Poisson process in the presence of power function trend by using the general kernel function. Beside that we also construct the statistical properties of the estimator. Approach: It is considered the worst case where there is only available a single realization of the Poisson process having intensity which consist of a periodic component and a power function trend, observed in the interval [0, n]. It is assumed that the period of the periodic component and the slope of the power function trend are known. Results: It has been formulated the estimator and asymptotic approximations to the bias and variance of the estimator. Conclusion: The estimator that we construct is asymptotically unbiased estimator for a periodic component of the intensity function of a periodic Poisson process in the presence of a power function trend.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}