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Search Result For 'Simulation' , Result Number : 27

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Amr Mohamed Samy Mohammed Mahdi
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Numerical simulation for the fractional SIRC model and influenza A
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Power Systems Simulation
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Simulation Programming
Mohamed Mahsoub Mahsoub Mahsoub Mandur
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Plasma Simulation
Ibrahim Ahmed Abdelhamid
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Wastewater modeling and simulation
Yasmin Khairy Abdel Fattah Ahmed
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Molecular dynamics simulation
Zahraa Elsayed Mohamed Mohamed Yusuf
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modelling of simulation
Soad hosny Anany Awadallah
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Simulation and Optimization
Mahasen Mahmoud Helmy Khater
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Simulation
Mohsen Mohamed Mohamed Fuad
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Modeling and Simulation
Mohamed Ibrahim Mohamed Abdelaal
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FEM Simulation of ECAP process
Mohammed Samer Mohamed Yamany
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Modeling and Simulation
Mohamed Talaat Mohamed Mostafa
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Simulation Programs
Mohammed Abdelfattah Mohamed Farahat
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Effect of Parasitic Resistances and Diode Ideality Factor on The Characterization Parameters of Photovoltaic Modules: Matlab Simulation Study
Mohammed Abdelfattah Mohamed Farahat
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Simulation Analysis of Doubly Fed Induction Generator for Wind Energy Conversion System Using Matlab
Mohamed Ali Elsayed Mohamed Agwa
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Modelling and simulation of severe plastic deformation processes
Mohammed Nour Abdelgawad Ahmed
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Simulation
Mahmoud Mesalam Bendary zeid
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System Dynamics Simulation
Hisham Mohamed Ibrahim Alemam
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Finite Element Simulation
Yasser Ramadan Ali Alashkar
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Computational and theoretical aspects of structural Engineering with particular emphasis on computational simulations
Fatma Desouky Mohamed Abdallah
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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
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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
Marwa Osman Mohamed Othman
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SIMULATION MODELS
Ibrahim Ismail Aly Bashter
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Nuclear Simulation
Ahmed Wagih Abdallah Abdelhady Deebes
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Finite element simulation
mohamed sarwat nabegh abd elmaksoud elshazly
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Numerical Simulation