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Search Result For ' Simulation' , Result Number : 21

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Amr Mohamed Samy Mohammed Mahdi
- Faculty Research Area On Zu Site
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Numerical simulation for the fractional SIRC model and influenza A
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Power Systems Simulation
Mohamed Mahsoub Mahsoub Mahsoub Mandur
- Faculty Research Area On Zu Site
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Plasma Simulation
Ibrahim Ahmed Abdelhamid
- Faculty Research Area On Zu Site
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Wastewater modeling and simulation
Yasmin Khairy Abdel Fattah Ahmed
- Faculty Research Area On Zu Site
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Molecular dynamics simulation
Zahraa Elsayed Mohamed Mohamed Yusuf
- Faculty Research Area On Zu Site
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modelling of simulation
Mahasen Mahmoud Helmy Khater
- Faculty Research Area On Zu Site
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Simulation
Mohsen Mohamed Mohamed Fuad
- Faculty Research Area On Zu Site
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Modeling and Simulation
Mohamed Ibrahim Mohamed Abdelaal
- Faculty Research Area On Zu Site
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FEM Simulation of ECAP process
Mohammed Samer Mohamed Yamany
- Faculty Research Area On Zu Site
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Modeling and Simulation
Mohammed Abdelfattah Mohamed Farahat
- Faculty Research Area On Zu Site
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Effect of Parasitic Resistances and Diode Ideality Factor on The Characterization Parameters of Photovoltaic Modules: Matlab Simulation Study
Mohamed Ali Elsayed Mohamed Agwa
- Faculty Research Area On Zu Site
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Modelling and simulation of severe plastic deformation processes
Mahmoud Mesalam Bendary zeid
- Faculty Research Area On Zu Site
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System Dynamics Simulation
Hisham Mohamed Ibrahim Alemam
- Faculty Research Area On Zu Site
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Finite Element Simulation
Yasser Ramadan Ali Alashkar
- Faculty Research Area On Zu Site
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Computational and theoretical aspects of structural Engineering with particular emphasis on computational simulations
Fatma Desouky Mohamed Abdallah
- Faculty Research Area On Zu Site
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Statistical Modelling of Categorical Outcome with More than Two Nominal Categories Fatma D.M. Abdallah* Department of Animal Wealth Development, Faculty of Veterinary Medicine, Zagazig University, Egypt *Corresponding author: Nour_stat2013@yahoo.com Received August 13, 2018; Revised October 04, 2018; Accepted December 04, 2018 Abstract This paper aims to explain and apply an important statistical method used for modelling categorical outcome variable with at least two unordered categories. Logistic regression model especially multinomial logistic type (MNL) model is the best choice to model unordered qualitative data. A simulation study was done to examine the efficiency of the model in representing categorical response variable. Three explanatory variables (age, species, and sex) are used for discrimination. While the outcome variable was Rose Bengal Plate Test (RBPT) results which has four outcome categories (negative, positive, false positive, and false negative). Therefore, logit model will be utilized to model this data. MNL models were fitted using SPSS packages and parameters estimated depending on maximum likelihood (MLE) by the Newton-Raphson algorithm. This model depends mainly on two estimates to interpret the results, they are the regression coefficient and the exponentiated coefficients which known as the odds ratio. This model was a good fitted for description the data of 500 values of Rose Bengal Plate Test results of Brucella in sheep and goat species. The results showed fitting of the model to the data with highly significant likelihood ratio statistic for the overall model (P value = 0.000**). Wald test was significant for all variables in positive category and this indicated that age, species and sex are good predictors for test results. The odds ratio in case of positive category for age, species and sex was 1.589, 0.214 and 0.133 respectively. Keywords: multinomial logistic regression, odds ratio, Rose Bengal Plate Test (RBPT), maximum likelihood and pseudo R2 Cite This Article: Fatma D.M. Abdallah, “Statistical Modelling of Categorical Outcome with More than Two Nominal Categories.” American Journal of Applied Mathematics and Statistics, vol. 6, no. 6 (2018): 262-265. doi: 10.12691/ajams-6-6-7.
Samah Elawady Abosarkh
- Faculty Research Area On Zu Site
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The High Fidelity Simulation Training and Its Impact on Nursing Students’ Satisfaction, Self Confidence and Their Performance in Pediatric Real Situation: A Comparative Study
Essam Mohamed AbdelFattah Ibrahim
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Modeling & Simulation of New Plasma Sources
Ibrahim Ismail Aly Bashter
- Faculty Research Area On Zu Site
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Nuclear Simulation
Ahmed Wagih Abdallah Abdelhady Deebes
- Faculty Research Area On Zu Site
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Finite element simulation
mohamed sarwat nabegh abd elmaksoud elshazly
- Faculty Research Area On Zu Site
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Numerical Simulation