Volume 16 Issue 1
Published: 2019-06-01
Contents
Article
Estimating Two Parameters of Lomax Distribution by Using the Upper Recorded Values under Two Balanced Loss Functions
Enas Ghanem Abd alkader, Ray Al-Rassam
In this paper, two lomax distribution parameters are estimated along with the estimation of the reliability function under two balanced loss functions: the balanced squared error function and...
DOI: 10.33899/iqjoss.2019.0164181
Using Amsaa Model in Evaluating Reliability Growth Testing
Karam Nageeb, Khalida Ahmed
Reliability growth is defined as the positive progress in reliability over a period of time according to changes in product design or manufacturing processes. There are three main areas of...
DOI: 10.33899/iqjoss.2019.0164182
Comparison Performance Prediction between some Artificial Neural Networks (Box Jenkins) methodology with application
Rehad Shamany, Thafer Ramadan
This paper compares a prediction accuracy between the statistical time series method that use (Box Jenkins) methodology, and some artificial neural networks, which differ from them through the...
DOI: 10.33899/iqjoss.2019.0164183
The Effect of the Outliers and Leverage Points in the Construction of the Bayesian and Bootstrap Confidence Intervals
Muzahim Mohammed
The aim of this research is to compare the bootstrap confidence intervals with the Bayesian confidence intervals for smoothing splines as well as the traditional confidence intervals to determine...
DOI: 10.33899/iqjoss.2019.0164184
Bayesian Analysis for Parameters of Multivariate tFA model with Simulation
Ahmed Sami, hayfa saieed
In many kinds of pollution, such as economic and environmental pollution, the researchers use the normal linear model to present their data studies. That selection may be inaccurate because the...
DOI: 10.33899/iqjoss.2019.0164185
Prediction and Factors Affecting of Chronic Kidney Disease Diagnosis using Artificial Neural Networks Model and Logistic Regression Model
Rizgar Maghdid Ahmed, Omar Qusay Alshebly
The last few years witnessed a great and increasing interest in the field of intelligent classification techniques which rely on Machine Learning. In recent times Machine Learning one of the areas...
DOI: 10.33899/iqjoss.2019.0164186
