OALib Journal
  OALib Journal is an all-in-one open access journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721). It accepts a manuscript for the peer-review processing, typesetting, publication and then allocated to one of the 322 subject areas. The article processing charge for publishing in OALib journal is Only $99. For more details, please contact service@oalib.com. Submit now
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Feb 26, 2021Open    AccessArticle

The Behaviour of the Dispersion Matrix of the Information Matrix Test under the Wrong Logistic Regression Model

Nuri H. Salem Badi
The Information Matrix Tests (IMT) considers as one of the important global goodness of fit test. The IMT provides a unified framework for specification goodness of fit tests for a wide variety of distribution, multivariate or univariate, discrete or continuous. Many researchers discussed the IMT in cases of the outcome covariate is a continuous variable which reported it has reasonable behaviour. This article considers using IMT as a goodness of fit test for the logistic regression mode, to inv...
Open Access Library J. Vol.8, 2021
Doi:10.4236/oalib.1107183


Jan 22, 2021Open    AccessArticle

Mathematical Procedures for the Non-Coplanar Tangential Transfers between Circular Orbits

A. A. Alqarni
To transfer a satellite or a spacecraft from a low parking orbit to another orbit requires one of the many orbital transfers. These orbital transfers need to determine some orbital elements of the initial and final orbits as perigee and apogee distances. The transfers compete to achieve the transition with minimal consumption of energy, transfer time, as well as the highest accuracy of transition. In the present research, certain mathematical procedures implementable with the help of computers w...
Open Access Library J. Vol.8, 2021
Doi:10.4236/oalib.1107101


Sep 16, 2020Open    AccessArticle

Outlier Detection and Effects on Modeling

Christopher O. Arimie, Emmanuel O. Biu, Maxwell A. Ijomah
In this work, a comprehensive framework for traditional outlier detection techniques based on simple and multiple linear regression models was studied. Two data sets were used for the illustration and evaluation of each class of outlier detection techniques (analytical and graphical methods). Outlier detection aims at identifying such outlier in order to improve the analytic of data and suitable model built. Furthermore, comparisons of the different methods were done to highlight the advantages,...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106619


Jul 13, 2020Open    AccessArticle

Additive Decomposition with Arima Model Forecasts When the Trend Component Is Quadratic

Biu O. Emmanuel, Dennis Enegesele, C. O. Arimie
This paper demonstrates the use of Buys-Ballot table for identification of decomposition model using graphical method, when the trend cycle component is quadratic. A suitable ARIMA model was fitted, and was used for forecasting. Using the Buys-Ballot techniques, the column means, variances and standard deviation were estimated for the model identification. The additive model had no seasonal effect but, the multiplicative model had seasonal effect. The result of the illustrative example using the...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106435


May 29, 2020Open    AccessArticle

Octave Analysis of Logistic Growth Model for Pig Pen: Its Economic Viability

I. S. S. Abang, O. N. Nze, O. A. Oriola, I. S. Amasiatu
Pig pen is fast becoming a very lucrative system of farming in Nigeria, most especially in the South-Eastern region of the country. This form of animal farming is very cost effective and does not need much training before someone ventures into it, as pigs are a very special breed of animals that can eat almost any kind of food, and they do not fall sick easily when compared with chicken poultry or fish poultry business. This paper also discussed how swine breeding could help in addressing enviro...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106215


Mar 11, 2020Open    AccessArticle

An Exact Ranked Linear Assignments Solution to the Symmetric Traveling Salesman Problem

Roy Danchick
In this paper, we show how Murty’s ranked linear assignment algorithm can be applied to exactly solve the symmetric Traveling Salesman Problem (TSP). To increase the Murty algorithm’s computational efficiency in solving the TSP, we develop a simple algorithm that determines whether a node that is generated in Murty’s sequential node partitioning process contains a sub-cycle of length less than n, where n is the number of cities to be visited. Each such node cannot generate a genuine solution, wh...
Open Access Library J. Vol.7, 2020
Doi:10.4236/oalib.1106159


Oct 30, 2019Open    AccessArticle

EPQ Inventory Model for Deteriorating Raw Materials with Two-Level Trade Credit and Limited Storage Capacity under Alternate Due Date of Payment

Ghi-Feng Yen, Shy-Der Lin, An-Kuo Lee
Economic production quantity (EPQ) research has typically focused on the cost of production processes, but has not employed accurate calculation to assess factors influencing ordering costs, because one of their assumptions is the raw materials that are product timely. However, the production and transport process of raw materials are influencing factors and increase the holding cost of raw materials, either by incre
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Open Access Library J. Vol.6, 2019
Doi:10.4236/oalib.1105795


Sep 16, 2019Open    AccessArticle

Construction of Risk Prediction Model for Alzheimer’s Disease Based on Meta-Analysis

Shuang Jiang, Zhezhi Jin
Objective: Construction of risk prediction model for Alzheimer’s disease based on Meta-analysis. Method: Documenting such as CNKI, WanFang database and VIP database, which were published in China from 2010 to 2018 and had data on risk factors for Alzheimer’s disease. Meta-analysis of standards compliant literature using RevMan5.3 software and then combine the results to obtain a comprehensive risk for each risk factor, the risk pr
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Open Access Library J. Vol.6, 2019
Doi:10.4236/oalib.1105731


Jan 30, 2019Open    AccessArticle

EPQ Policies Considering the Holding Cost of Raw Materials under Conditions of Two-Level Trade Credit and Limited Storage Capacity

Ghi-Feng Yen, Shy-Der Lin, An-Kuo Lee
The economic production quantity model is widely used as a decision making tool. However, climate change and energy supply instability have raised the transport costs of raw materials, thereby affecting production costs. Therefore, this paper presents a new model that considers the holding costs of raw materials under conditions of two-level trade credit and limited storage capacity. Four theorems are developed to characterize the
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Open Access Library J. Vol.6, 2019
Doi:10.4236/oalib.1105140


Nov 30, 2018Open    AccessArticle

Modeling Wind Energy Using Copula

Zuhair Bahraoui, Fatima Bahraoui, M. Amin Bahraoui
In most studies related to wind energy, the quantity of the air density is consid-ered constant, but actually, we know that it is variable and depending on others natural factors. We present a new procedure to estimate the wind density power energy by simulating the components of the air density. The procedure uses the copula theory and demonstrates that the estimated power energy is higher if
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Open Access Library J. Vol.5, 2018
Doi:10.4236/oalib.1104984


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