Volume 16 Issue 3

Published: 2019-12-01

Contents


Article
Approximate estimator for parameters of non-normal VMA(1) model

Mehasin Salah Al-talib, Haeifa Abdal jawad saaed, Wasfi Taher Salah

In many applications of time series , the white noise does not follow the normal distribution but follows one of the heavy tailed distributions. Whenusing normal models in estimation and...

DOI: 10.33899/iqjoss.2019.0164147

Pages: 1-24
Estimation of Reliability Function for Complete Data - Article Review

Shaimaa Waleed

The theory of reliability is one of the important theories that is attracting great interest in many researchers at present because of its importance in various fields of life especially in...

DOI: 10.33899/iqjoss.2019.0164172

Pages: 25-38
Variable selection in Poisson regression model using invasive weed optimization algorithm

Zakariya Yahya Algamal, Ghada yosif ismail

Variable selection is a very helpful procedure for improving prediction accuracy by finding the most important variables that are related to the response variable. Poisson regression model has...

DOI: 10.33899/iqjoss.2019.0164173

Pages: 39-54
Nature-inspired optimization algorithms in knapsack problem: A review

Ghalya Tawfeeq Basheer, Zakariya Yahya Algamal

Meta-heuristic algorithms have become an arising field of research in recent years. Some of these algorithms have proved to be efficient in solving combinatorial optimization problems, particularly...

DOI: 10.33899/iqjoss.2019.0164174

Pages: 55-72
Proposed methods for finding the basic acceptable solution for the transportation problems

Asmaa Salah Alddin Sulaiman

The data tend to be centered around a certain value that can be called a central value. In this case, the measures of central tendency are the function used to recognize this central value to...

DOI: 10.33899/iqjoss.2019.0164175

Pages: 73-84
Analysis of Some Linear Dynamic Systems with Bivariate Wavelets

Taha Hussein Ali, Mardin Samir Ali

There are many statistical methods related to the forecasting of time series without any input variables such as autoregressive integrated moving average (ARIMA models). In this research, some...

DOI: 10.33899/iqjoss.2019.0164176

Pages: 85-109