Estimate the Parameters and Related Probability Functions for Data of the Patients of Lymph Glands Cancer via Birnbaum-Saunders Model
Keywords:
Birnbaum-Saunders Distribution , Lymph Glands Cancer Disease, Complete Real Data, Maximum Likelihood Estimator, Regression Quantile(Least Square) Method and Shrinkage Estimator, Mean Squares Error and Mean Absolute Percentage Error.Abstract
In this paper,we estimate the parameters and related probability functions, survival function, cumulative distribution function , hazard function(failure rate) and failure (death) probability function(pdf) for two parameters Birnbaum-Saunders distribution which is fitting the complete data for the patients of lymph glands cancer. Estimating the parameters (shape and scale) using (maximum likelihood , regression quantile and shrinkage) methods and then compute the value of mentioned related probability functions depending on sample from real data which describe the duration of survivor for patients who suffer from the lymph glands cancer based on diagnosis of disease or the inter of patients in a hospital for period of three years ( start with 2010 to the end of 2012) .Calculating and estimating all previous probability functions , then comparing the numerical estimation by using statistical indicators mean squares error and mean absolute percentage error between the three considered estimation methods with respect to survival function. Concluding that, the survival function for the lymph glands cancer by using shrinkage method is the best.