Modelling Inverse Gaussian Data with Censored Response Values: EM versus MCMC

Low detection limits are common in measure environmental variables. Building models using data containing low or high detection limits without adjusting for the censoring produces biased models. This paper offers approaches to estimate an inverse Gaussian distribution when some of the data used are censored because of low or high detection limits… CONTINUE READING

3 Figures & Tables