ORCID Profile
0000-0003-4083-1952
Current Organisation
Australian College of Kuwait
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Publisher: Polskie Towarzystwo Statystyczne
Date: 03-2019
DOI: 10.21307/STATTRANS-2019-005
Abstract: The present paper revisits an estimator proposed by Boes (1966) – James (1978), herein called BJ estimator, which was constructed for estimating mixing proportion in a mixed model based on independent and identically distributed (i.i.d.) random s les, and also proposes a completely new (smoothed) estimator for mixing proportion based on independent and not identically distributed (non-i.i.d.) random s les. The proposed estimator is nonparametric in true sense based on known “kernel function” as described in the introduction. We investigated the following results of the smoothed estimator under the non-i.i.d. set-up such as (a) its small s le behaviour is compared with the unsmoothed version (BJ estimator) based on their mean square errors by using Monte-Carlo simulation, and established the percentage gain in precision of smoothed estimator over its unsmoothed version measured in terms of their mean square error, (b) its large s le properties such as almost surely (a.s.) convergence and asymptotic normality of these estimators are established in the present work. These results are completely new in the literature not only under the case of i.i.d., but also generalises to non-i.i.d. set-up.
Publisher: Elsevier BV
Date: 03-2024
Publisher: Elsevier BV
Date: 09-2019
Publisher: Informa UK Limited
Date: 06-09-2017
DOI: 10.1080/17461391.2016.1225822
Abstract: Understanding factors that motivate young athletes to continue participation in sport can help key stakeholders cultivate an environment that fosters long-term participation. This investigation sought to determine the performance and participation factors that influenced continued participation in junior cricket. Administration-level data were collected each annual season across a seven-year period by a community-level junior cricket association in Australia and analysed to identify the performance and participation-based predictors of player retention. All players were males aged <16 years. Players were categorised according to whether they remained in (or departed from) the association at the end of each playing season. A multivariate logistic regression model with a stepwise variable selection was employed to identify significant independent predictors of player retention. The number of innings batted and overs bowled were significant participation-related contributors to junior cricket player retention. Performance factors such as the number of wickets taken and the number of runs scored also significantly influenced player retention. Finally, team age group, the number of previous seasons played and age were also significant factors in player retention. This demonstrates that sufficient opportunity for children to participate in the game and expression of skills competence are key factors for retention in cricket.
Publisher: Informa UK Limited
Date: 05-09-2023
Publisher: Elsevier BV
Date: 08-2023
Publisher: IEEE
Date: 04-2018
Publisher: Elsevier BV
Date: 09-2018
Publisher: Wiley
Date: 20-06-2019
DOI: 10.1002/BSE.2351
Publisher: Springer Science and Business Media LLC
Date: 29-09-2018
Publisher: Emerald
Date: 07-05-2019
DOI: 10.1108/JMLC-01-2018-0004
Abstract: Despite the existence of laws, regulations and sanctions, financial crime remains widespread. The Panama leaks have proven that people from all over the world are participating in money laundering and other financial crimes. This study aims to investigate the influence of national culture on financial crimes across 78 countries. This study uses Hofstede’s cultural framework as a basis for its hypotheses on financial crime. It also uses the Basel anti-money laundering index as a proxy for measuring the incidence of financial crime across the countries under review. The findings show that countries whose cultural profiles are characterized by low uncertainty avoidance, low in idualism, high masculinity and low long-term orientation have high rates of financial crime. The finding also shows that countries whose cultural profiles are characterized by in idualism or positive collectivism, uncertainty avoidance and long-term orientation have low rates of financial crime. Laws, regulations and sanctions are not the only factors that can help deter the crime governments should also take a holistic approach that includes the cultural factors that encourage deterrence.
Publisher: Public Library of Science (PLoS)
Date: 13-06-2018
Publisher: Emerald
Date: 02-07-2019
DOI: 10.1108/JMLC-11-2018-0066
Abstract: In this study, the authors aim to investigate the control of corruption (COC) mechanism and the rule of law (ROL) in mediating the effect of culture on terrorism financing. Thus, whether the COC and the ROL can mediate the effect of culture on terrorism financing across 78 countries has been examined. This study can provide additional evidence about the importance of having good institutional quality to hinder any deviant behavior like terrorism financing. Structural equation modeling is used to test the mechanism of the ROL and COC in mediating the effect of culture on terrorist financing (TF). This research tries to investigate the indirect path of culture in TF through COC and ROL and to examine the role of institutions in motivating or demotivating the deviant behaviors. The results revealed that COC and ROL completely mediate the relation between culture and TF. This supports the postulation that there is an indirect relationship between culture and TF. Also, the results indicate that ROL is more powerful than COC, as a governmental tool, in controlling TF. This paper highlights the fact that, according to authors’ research, this is the first study, to the best of their knowledge, that tests the mechanism of the ROL and COC in mediating the effect of culture on TF actions and money laundry.
Publisher: Virtus Interpress
Date: 2021
Abstract: This research empirically investigated the effectiveness of the interest rate policy of the Federal Reserve (Fed) on managing the subprime mortgage crisis. The study employed the autoregressive distributed lag model (ARDL) to analyze the stability of the Fed’s monetary policy, thereby providing an alternative analysis tool. Correlation analysis results showed a strong positive and statistically significant relationship between Fed funds rate and the labor market, a strong negative and statistically significant relationship between Fed funds rate and the housing market, and a strong negative and statistically significant relationship between Fed funds rate and price stability. In contrast, results of the ARDL model bounds test for cointegration indicated that house price index (HPI), labor market, and price stability were cointegrated, hence exhibiting a long-run relationship with Fed funds rate. This research demonstrates that additional empirical studies using new techniques are required to reevaluate the Fisher effect and expand the understanding of the mechanism between interest rates and inflation. This issue is extremely important, particularly for countries such as the U.S., the UK adapting inflation targeting policy using interest rates as an operational target.
Publisher: Elsevier BV
Date: 12-2021
Publisher: Informa UK Limited
Date: 07-2009
Publisher: MDPI AG
Date: 19-01-2022
DOI: 10.3390/SU14031112
Abstract: The focal aim of the project was to assess the economic anxiety (EA) and the performance of small and medium enterprises (SMEs) during partial and full lockdowns in Kuwait. The challenges facing the SMEs during COVID-19 and the potential solutions were also explored. The call for this vital investigation was due to the global economic fallout and the shocking drop within the marketplace caused by the COVID-19 pandemic. A descriptive approach was used for online survey design to collect datasets from 147 SMEs spanning all governorates of Kuwait in the period between March and June 2021. It included sociodemographic data, economic anxiety perception, potential challenges and solutions to SMEs, and SMEs’ performance. The data analysis using SPSS 25 showed that 78.2% of the SMEs were affected directly by the COVID-19 pandemic, and about 83% were affected negatively by the COVID-19 pandemic. In comparison, only 12.2% experienced a positive impact, mainly medical, technology, social media, food supplies, and delivery or logistics industries. With great concerns of SMEs for all dimensions related to economic anxiety (with an average of around 3.95), the greatest concerns were the financial and cash flow, followed by labor shortage (an average between 4.51 and 5.00). The results also showed that most of the performance indicators for the SMEs were low (with an average of less than or equal to 2.5), and more than 66% of them worked fewer hours during the pandemic the number of operating hours was dropped dramatically. More than 74% of the SMEs used technology in more than 20% of their activities, representing an increase in using technologies of about 44%, and about 25.2% used social networks in more than 80% of their activities. The performance of SMEs is also found to be significantly and positively correlated with the economic anxiety levels, with a correlation coefficient of 0.186. The findings revealed significant and crucial outcomes for policymaking, decision-makers, and governmental agencies to build recovery plans and proper actions needed to manage the consequences caused by the disaster against the economic and other developments within the context of SMEs. Overall, there is a clear need to find ways and customize operations to adapt to the new work modes that require social distancing, online operations, and site management. In addition, new alternative modes of SMEs work follow to compensate for the lower working hours from the office and increased online working from home.
No related grants have been discovered for Ahmed Bani-Mustafa.