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Articles 1 - 7 of 7
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Formulating An Efficient Statistical Test Using The Goodness Of Fit Approach With Applications To Real-Life Data, S. A. Qaid, S. E. Abo Youssef, M. M. M. Mansour
Formulating An Efficient Statistical Test Using The Goodness Of Fit Approach With Applications To Real-Life Data, S. A. Qaid, S. E. Abo Youssef, M. M. M. Mansour
Journal of Statistics Applications & Probability
Statistical tests are very important for researchers to make decisions. In particular, when the tests are non- parametric, they are of greater importance because they can be applied to a wide range of data sets regardless of knowing the distribution of these data. Researchers are therefore racing to obtain efficient tests for making good decisions based on the results of these tests. In this study, NBU (2)L was used based on the goodness of fit approach to present an efficient statistical test. The efficiency of the proposed test was computed, and the results were compared to those of other tests. …
Neutrosophic Non-Linear Regression Based On Kuhn-Tucker Necessary Conditions, Mahmoud A. Abo-Sinna, Nagwa G. Ragab
Neutrosophic Non-Linear Regression Based On Kuhn-Tucker Necessary Conditions, Mahmoud A. Abo-Sinna, Nagwa G. Ragab
Journal of Statistics Applications & Probability
Correlation coefficient and regression analysis are the most applied statistical approaches accessible in numerous disciplines due to its applicability and relevance. The neutrosophic sets found their place into recent research, whereas the world is full of indeterminacy. Kuhn-Tuckers necessary conditions are used to obtain the estimated parameters for non-linear regression models. This estimation procedure can use for any data set of non-linear regression models. We present, in this paper, the concepts of neutrosophic correlation and non-linear regression based on Kuhn-Tuckers necessary conditions. we provide some comparative studies between single-valued neutrosophic set and interval-valued neutrosophic set. Next, we apply scoring methods …
Ratio Of Coefficients Of Variation For Comparing The Dispersions Of Several Independent Populations, Abbas Bahrampour, Zeynab Avazzadeh, Mohamad Reza Mahmoudi
Ratio Of Coefficients Of Variation For Comparing The Dispersions Of Several Independent Populations, Abbas Bahrampour, Zeynab Avazzadeh, Mohamad Reza Mahmoudi
Journal of Statistics Applications & Probability
The coefficient of variation (CV) is an important and useful statistical tool for comparing several populations. In cases where there are multiple populations with different means and variances, the ratio of the coefficients of variation (CVs) is a good way to compare the dispersion of the populations. Because of the possible minor differences between multiple CVs and the lack of a robust interpretation, the ratio of CVs is more accurate than the difference of CVs. When a statistical analysis consists of some simultaneous statistical tests such as equality of several CVs, multiple testing is useful. As an example, the multiple …
Solving Bi-Level Multi-Objective Quadratic Programming Problem With Neutrosophic Parameters In Objective Functions And Constraints Using Fuzzy Approach, O. E. Emam, A. Abdo, A. M. Youssef
Solving Bi-Level Multi-Objective Quadratic Programming Problem With Neutrosophic Parameters In Objective Functions And Constraints Using Fuzzy Approach, O. E. Emam, A. Abdo, A. M. Youssef
Journal of Statistics Applications & Probability
This paper aims to present the neutrosophic technique and fuzzy approach to determine the preferred compromise solution for bi-level multi-objective quadratic programming problem with neutrosophic parameters in both the objective functions and constraints. The introduced technique starts firstly to convert the neutrosophic parameters that exist in the objective functions to crisp numbers then convert the neutrosophic parameters that exist in the constraints to crisp numbers. After that, we applied the fuzzy approach to determine the optimal solution for our bi-level multi-objective quadratic programming problem (BLMOQP). Keywords:
A Fuzzy Approach For Solving A Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions And Constraints, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
A Fuzzy Approach For Solving A Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions And Constraints, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
Journal of Statistics Applications & Probability
The most widely used actions taken and decisions made in real-world tasks frequently appear as hierarchical systems. The multi-level programming problem is the technique that most often used to address these systems; however, in practical situations, some decisions and performance are imprecise. Neutrosophic sets provide a vital role by considering three independent degrees, specifically, the truth membership degree, the indeterminacy-membership degree, and the falsity membership degree, of every aspect of uncertain decisions. This study focuses on solving neutrosophic multi-level linear programming problems with neutrosophic parameters in the objective functions and constraints. The neutrosophic form of the problem transformed into an …
A Fuzzy Approach For Solving A Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions And Constraints, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
A Fuzzy Approach For Solving A Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions And Constraints, O. E. Emam, Manal A. Abdel-Fattah, Safaa.M. Azzam
Journal of Statistics Applications & Probability
The most widely used actions taken and decisions made in real-world tasks frequently appear as hierarchical systems. The multi-level programming problem is the technique that most often used to address these systems; however, in practical situations, some decisions and performance are imprecise. Neutrosophic sets provide a vital role by considering three independent degrees, specifically, the truth membership degree, the indeterminacy-membership degree, and the falsity membership degree, of every aspect of uncertain decisions. This study focuses on solving neutrosophic multi-level linear programming problems with neutrosophic parameters in the objective functions and constraints. The neutrosophic form of the problem transformed into an …
Interactive Approach For Solving Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions, O. E. Emam, Manal A. Abdel-Fattah, S. M. Azzam
Interactive Approach For Solving Three-Level Linear Programming Problem With Neutrosophic Parameters In The Objective Functions, O. E. Emam, Manal A. Abdel-Fattah, S. M. Azzam
Journal of Statistics Applications & Probability
The most widely actions and decisions of the real-world tasks are frequently appeared as hierarchical systems. To deal with these systems, the multi-level programming problem presents the most flourished technique. However, practical situations involve some impreciseness regarding some decisions and performances. Neutrosophic sets provides a vital role by considering three independent degrees specifically truth membership degree, indeterminacy-membership degree, and falsity membership degree of any aspect of uncertain decision. By preserving the advantages of it, the presented study focuses on solving neutrosophic three-level linear programming problems, taking into account the problem coefficients as trapezoidal neutrosophic numbers. The neutrosophic form of the …