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03- Journal of Statistics Applications & Probability
An International Journal



Application of Interaction Methods And Multigroup Analysis In Structural Equation Modeling Using The Warppls Approach

Mamluatul Marchamah,
Abstract :
This study aims to determine the role of the moderating variable of mindfulness as the influence between service quality and lifestyle on willingness to pay and on time to pay House Ownership Credit Bank X customers. The moderating variable analysis uses two approaches, namely the interaction method and multigroup analysis. This study uses primary data obtained from questionnaires regarding the variables of service quality, lifestyle, mindfulness, willingness to pay, and on time to pay distributed to house ownership credit Bank X customers with a sampling technique using purposive sampling. The analysis technique uses SEM to examine the effect of the relationship with the help of WarpPLS software. The results of the analysis obtained the role of moderating variables using two approaches. In the interaction method approach, mindfulness proved not to function as a moderating variable. Meanwhile, in the multigroup analysis variable mindfulness was proven to be a moderating variable.



F. B. Dassi, M. G. Griffiths,
Abstract :
This paper presents two new portmanteau tests to evaluate the goodness of fit of ARMA models. The tests are based on exponential weights of the residual autocorrelation function and the residual partial autocorrelation function. A review of previous work on portmanteau tests is given. The performance of the new portmanteau tests is compared with previous portmanteau tests via the use of Monte Carlo experiments with 10,000 replications. The empirical size simulations show that, when an AR(1) process is fitted by an AR(1) model, most portmanteau tests from previous studies do not have significance levels that are stable with respect to lag length. The new residual partial autocorrelation function test is shown to outperform previous tests in terms of its power and its stability with respect to lag length.


The role of social marketing campaigns in achieving sustainable development (A field study applied to the campaign ‘STAY AT HOME’ in the United Arab Emirates)

Mona Abdelrahman,
Abstract :
Social marketing is a modern concept on Arab research in the field of sustainable development, so there is an urgent need to write about this topic and to provide a kernel on which to base knowledge on developing the concept, so that it can be applied and used in organizing social marketing campaigns that achieve the goals of sustainable development aimed to create Social change that improves the lives of individuals and councils. From this standpoint, the idea of this research came as the researchers discussed the development of the concept of social marketing, its importance, principles, forms, strategies, and steps for its application within the framework of the practice of sustainable development with an explanation of the scientific and skill foundations that need to be enjoyed by those working in the field of social marketing with a stand on Difficulties and obstacles that may hinder its application in Arab societies in general and the UAE in particular. Therefore, the search seeks to identify the social values included in social marketing campaigns (stay home) targeting the UAE society and its relationship to achieving sustainable development, as the research focused on identifying the most important values that social marketing campaigns seek to spread in the members of the targeted research community


Collaborative Aspects supporting Education 4.0

Ashwin Jerome fernandes, Balvinder shukla, Habib Fardoun,
Abstract :
Currently, aspects related with Global connectivity, new communication media, Smart devices are just some of the elements reshaping how we think about work, what constitutes work, and how we learn and develop the skills to work in the future. Education is not distant to this reality, where the concept of Education 4.0 appears. Include Collaborative aspects is one of the most important premises into the new Education process. On this paper we present a set of mechanisms to include collaboration in order to foster education.


Assessment of Virtual Reality in Education (Applicable to First Grade Secondary Students)

Eman Wadie Abdel Halim,
Abstract :
Scientific theories and abstract general concepts are among the most important targeted educational outcomes, which require the teacher to pay more attention and effort so that the student can acquire and understand them. Modern technology provides us with some techniques that can be used in the field of education, including Virtual and Augmented Reality Technology. This research has been concerned with assessing the feasibility of using Virtual Reality at the level of all its dimensions and characteristics of its virtual environment (simulation - navigation – interaction - immersion). The outcomes of the study concluded that there is agreement between the responses of both students and (teachers and education experts) about the simulation dimension only, and that there are differences between the responses of both students and (teachers and education experts) at the level of the other three dimensions of the Virtual Reality environment. The study recommended developing a preliminary vision for the application of the Virtual Reality method in schools subsidiary to the Egyptian Ministry of Education.


Moment Properties of Dual Generalized Order Statistics from Fréchet-Weibull Distribution

M. I. Khan,
Abstract :
The dual generalized order statistics or sometimes called lower generalized order statistics is a combined mechanism of studying random variables arranged in decreasing order. In this paper, some simple recurrence relations for single and product moments of dual generalized order statistics from Fréchet-Weibull distribution have been derived and its special cases are discussed. The characterization results are also presented based on recurrence relations.


Profile Monitoring for Com Poisson Responses

hadel zakaria ahmed,
Abstract :
Abstract: In some real case problems, the relationship between a response variable and one or more explanatory variables called as profile should be monitored over time instead of the quality characteristic itself. Profile monitoring is used in such instances. Much research has been done in profile monitoring but in most of them it is assumed that the response variable follows normal distribution. In recent years Yeh et al. (2009) proposed 5 T2 based methods for monitoring logistic profiles in which response variable is binary and Amiri et al. (2011) evaluate two of the best T2 methods for Poisson response profiles monitoring in Phase I. In this paper we will obtain the form of the Com Poisson equation and parametric estimation.


Bayesian Analysis of Weighted Boltzmann Maxwell Distribution; A Simulation Study

Muzamil Jallal, Muzamil Jallal,
Abstract :
In this article, we have primarily studied the Bayes’ estimator of the parameter of the Weighted Maxwell Boltzmann Distribution under the extended Jeffrey’s prior, Gamma & Chi-square prior distributions assuming different loss functions. The extended Jeffrey’s prior gives the opportunity of covering wide spectrum of priors to get Bayes’ estimates of the parameter - particular cases of which are Jeffrey’s prior and Hartigan’s prior. A comparative study has been done between the MLE and the estimates of different loss functions (SELF and Al-Bayyati’s , Stein & Precautionary new loss function). From the results, we observe that in most cases, Bayesian Estimator under Stein Loss function (Al-Bayyati’s Loss function) has the smallest Mean Squared Error values for both prior’s i.e, Jeffrey’s and an extension of Jeffrey’s prior information. Moreover, when the sample size increases, the MSE decreases quite significantly.


A New Modification Of Ram Awadh distribution with Application of Real life data

Rashid Ahmad Ganaie,
Abstract :
In this paper, we have introduced a new generalization of Ram Awadh distribution using Length biased technique known as Length-biased weighted Ram Awadh distribution. Length biased distribution is a special case of weighted distribution. The different mathematical and Statistical properties of the newly proposed distribution are derived and discussed. The parameters of the proposed distribution are obtained by applying the maximum likelihood estimation method and also Fisher’s Information matrix has been discussed. Finally. the newly proposed distribution is also demonstrated with two real life data sets for examining the superiority of the newly introduced model.


A Practical Study Using Structural Equation Modeling To Measure Food Security (Wheat) In Iraq

A.M. Mohammed, A.A. Al-Sheikh, A.Y. Abdul Kareem,
Abstract :
In this paper, we present a new a model, using (SEM) methodology as a modern method in measuring the food security. We analyze the production and consumption size for the period (1981-2016), where Iraq has enormous natural resources and despite the sever deterioration in the food supply after the Gulf War, the food ability per capita is considered to be the best levels in the region. Moreover, a major climate problem, namely the Global Warming threats by 2050 resulted from the rain shortage, drought and famine, which in return threat the food security, social stability, water resources, agriculture, health and biodiversity. It is shown that a high total Goodness of fit and acceptable limits of indicators where Goodness of Fit Index (GFI) was 0.884, Chi-Square (CMIN) (49.911) with significance 0.03, Standard Chi-Square Index (CMIN/DF) (1.512), Adjusted Goodness of Fit Index (AGFI) 0.986, Tucker-Lewis Index (TLI) 0.967. Thus, the suggested model explains the relation between the different factors and can be expanded depending on the generalized results.



R. Singh,
Abstract :
This paper probabilistically investigates the steady state performance of a two unit cold standby system. The system consists of two identical units and a server who is meant for bringing the system back in to operation as early as possible after failure. The server failure during working is possible. The server is treatable/ diagnosable but if its treatment time exceeds a specified limit it gets replaced. The failure, repair, replacement and treatment times are assumed to be statistically independent. The semi-Markov process and regenerative point technique are used to derive expressions for steady state performance measures. The simulation results are also given for mean time to system failure, availability and profit.


Statistical Analysis of Political and Economic Dimension of the Suez Canal Axis Development Project

Mahmoud Khalifa, Nasr Salem,
Abstract :
In this paper, we introduce a descriptive analytical method to identify the importance of foreign direct investment (FDI) and its political and economic determinants and the use of quantitative analysis to determine the expected impact of foreign direct investment in Suez Canal Development Project on the overall development in Egypt. It is shown that development of human resources to provide skilled and trained workers, skills and experience, develop a strategy to maximize value added activities and achieve maximum productivity to increase competitiveness. Also, providing an attractive investment environment, develop an integrated strategy to deal with economies of scale in all areas of activity and work on the stability of financial transactions and political and social stability will allow goods to pass directly from the port to the logistics center.


Some Median Type Estimators to Estimate the Finite Population Mean

Javid Shabbir,
Abstract :
On the lines of Bahl and Tuteja (1991) and Grover and Kaur (2011) we propose new median based estimator to estimate f nite population mean in absence of the auxiliary variable. By using median approach the expressions for bias and mean squared error (MSE) are derived up to rst order approximation. In empirical and simulation study the comparison of median based proposed class of estimators with sample mean, ratio and linear regression estimators are discussed.

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