Volume 5 Issue 1

Published: 2005-12-01

Contents


Article
Comparison Between Ordinary Method and Robust Method to estimate the Parameters of the Bivariate Mixed Model, ARMA(1,1)

بدالمجيد حمزة الناصر

A condensed study was done to compare between the ordinary estimators. In particular the maximum likelihood estimator and the robust estimator, to estimate the parameters of the bivariate mixed...

DOI: 10.33899/stats.2005.032806

Pages: 1-19
COMBINED NON-QUADRATIC MODELS AS A BASIS FOR CG-A LGORITHMS

Abbas Y. AL-Bayati, Abbas H. Taqi

In this paper,a new extended (CG) algorithms is proposed. It is in fact, a particular type of the Conjugate Gradient (CG) method which employs non-quadratic rational model, and based on inexact...

DOI: 10.33899/stats.2005.032840

Pages: 1-14
HIGH RESOLUTION IMAGE CLASSIFICATION

Wasfi Taher Saalih

Classification is an important field with many applications. In particular, the classification of digital imagery has important applications in the mapping community. In this paper the comparison...

DOI: 10.33899/stats.2005.032857

Pages: 15-21
Studying Consistency of Some Flitters Using Simulation

باسل يونس ذنون

ABSTRACTThis paper includes a simulation study of three well-known filters in real lift application. These filters are - filter, Kalman filter and FIR filter. Noisily realizations were generated...

DOI: 10.33899/stats.2005.032811

Pages: 20-39
Comparison of Spline Methods for estimating Nonparametric Regression Curve

ظافر حسين رشيد

This research is focusing on methods related to smoothing Nonparametric Regression Functions. This is for the purpose of producing the best methods convenient for various methods. Thus, the most...

DOI: 10.33899/stats.2005.032814

Pages: 40-62
The Use of Neural Networks in Forecasting of Time Series with Application on Consumption of Electrical Power in Mosul City

باسل يونس الخياط

Forecasting of future behavior of time series is one of the important subjects in statistical sciences, because of its important need in different areas of life. Interest in forecasting had...

DOI: 10.33899/stats.2005.032817

Pages: 63-79
Application of a Markov chain Model on the popular transformation between the cities of (Nineva, Saladean, Tameem) for the period 1977-1997

عبد الغفور جاسم سالم

In this paper we study the migration of population among the three Iraqi cities: Nineva , Saladean, Tameem by considering these this migrations as a Markov chain with three states which represent...

DOI: 10.33899/stats.2005.032821

Pages: 80-95
The effect of Factor and Cluster Analysis in Modeling using SPSS

Sabah Hassan, Majed Hameed, Ali Ibrahim

The objective of this research is to arrive at to the following- Determine the number of factors that are extraced after using factor analysis for different dry milk type .- Determine number of...

DOI: 10.33899/stats.2005.032826

Pages: 96-119
Some Identification Methods of Mixed Model ARMA(1,1) and its Probabilistics Properties when Detetcting Random Error belong to Poisson Distribution

منعم عزيز محمد

Most of the time series that appear in many economical geophysical and otherphenomenas are driven by non-Gaussian random error (at), so the aim of this paper is to investigate some of the...

DOI: 10.33899/stats.2005.032830

Pages: 120-139
Building Parsimonious Dynamic System for Time Series

ميسون مال الله عزيز

In this paper the radial basis function method is used for the generation of models of time series. It has been arrived at a model for nonlinear time series. It has also been found that the error...

DOI: 10.33899/stats.2005.032832

Pages: 140-165
Recognition of Printed English character

جمال صلاح الدين سيد مجيد

The development of life has made tons of documented data available and with the wide working of banks administration, the method of recognizing character is found.

DOI: 10.33899/stats.2005.032836

Pages: 166-180
Bayesian Estimation of Parameter of Spatial Quadratic Decay Model

نبال صباح عبد الرحمن

This paper deals with the problem of estimating parameters of spatial quadratic model by Bayesian technique. This technique involves the prior information of the first and second moment of the...

DOI: 10.33899/stats.2005.032838

Pages: 181-196