Title of article :
Estimate AR(3) by Using Levinson-Durbin Recurrence Weighted Least Squares Error Methods
Author/Authors :
Salman, Abbas N. University of Baghdad - College of Education for pure Science (Ibn Al-Haitham) - Mathematics Dept, Iraq , Taha, Taha A. University of Baghdad - College of Education for pure Science (Ibn Al-Haitham) - Mathematics Dept, Iraq
From page :
387
To page :
409
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.
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.
Journal title :
Ibn Alhaitham Journal For Pure an‎d Applied Science
Journal title :
Ibn Alhaitham Journal For Pure an‎d Applied Science
Record number :
2589970
Link To Document :
بازگشت