A Matlab tool for Cox Processes with truncated Gaussian mean Bouzas, Paula R. Ruiz-Fuentes, Nuria Doubly stochastic Poisson process Cox process Truncated Gaussian distribution Goodness-of-fit test Modified maximum likelihood estimation The truncated Gaussian distribution rises in many practical situations, the aim of this paper is to give some tools to solve common tasks within this kind of random variables. A modified maximum likelihood estimation of the parameters of the distribution from an observed data set is given, we also implement a goodness-of- t test for a theoretical truncated Gaussian distribution. Finally, if we assume that the mean of a Cox process at each instant of time is distributed as a truncated Gaussian distribution, we give the most probable value of the process at a given time point. 2011-11-04T12:40:05Z 2011-11-04T12:40:05Z 2011-11-04 journal article http://hdl.handle.net/10481/18349 eng http://creativecommons.org/licenses/by-nc-sa/3.0/ open access Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License