Communication in Statistics-Theory and methods improved GQL estimation method for the generalised BINMA(1) model

In a recent research, the quasi-likelihood estimation methodology was developed to estimate the regression effects in the Generalized BINMA(1) (GBINMA(1)) process. The method provides consistent parameter estimates but, in the intermediate computations, moment estimating equations were used to estimate the serial- and cross-correlation parameters. This procedure may not result optimal parameter estimates, in particular, for the regression effects. This paper provides an alternative simpler GBINMA(1) process based on multivariate thinning properties where the main effects are estimated via a robust generalized quasi-likelihood (GQL) estimation approach. The two techniques are compared through some simulation experiments. A real-life data application is studied.     

Contested Ground: Network Governance in Australia's Migration Industry

This article challenges current understandings of the Australian migration industry's position in a network governance framework by shedding light on Registered Migration Agents’ (RMA) lived experiences of their profession. Using qualitative interview data collected from ten migration intermediaries across Australia, this article examines their experiences of their role in relation to the state and industry bodies. Placing migration intermediaries at the meso‐level of analysis, between macro‐level forces of the state and micro‐level agency of their clients, I argue primarily that the migration industry of Australia is a “contested ground” where intermediaries are embedded within complex negotiations with the state and legal frameworks, whilst also negotiating their legitimacy in a stigmatised profession. The findings of this study reveal migration intermediaries’ experiences of network governance as pivotal stakeholders, operating within a space characterized by complex configurations of autonomy and bureaucratic control.     

Essential Micro‐foundations for Contemporary Business Operations: Top Management Tangible Competencies,Relationship‐based Business Networks and Environmental Sustainability

Although various studies have emphasized linkages between firm competencies, networks and sustainability at organizational level, the links between top management tangible competencies (TMTCs) (e.g. contemporary relevant quantitative‐focused education such as big data analytics and data‐driven applications linked with the internet of things, relevant experience and analytical business applications), relationship‐based business networks (RBNs) and environmental sustainability have not been well established at micro‐level, and there is a literature gap in terms of investigating these relationships. This study examines these links based on the unique data collected from 175 top management representatives (chief executive officers and managing directors) working in food import and export firms headquartered in the UK and New Zealand. Our results from structural equation modelling indicate that TMTCs are the key determinants for building RBNs, mediating the correlation between TMTCs and environmental sustainability. Directly, the competencies also play a vital role towards environmental practices. The findings further depict that relationship‐oriented firms perform better compared to those which focus less on such networks. Consequently, our findings provide a deeper understanding of the micro‐foundations of environmental sustainability based on TMTCs rooted in the resource‐based view and RBNs entrenched in social network theory. We discuss the theoretical and practical implications of our findings, and we provide suggestions for future research.     

International Remittances and Private Schooling: Evidence from Kerala,India

This study investigates the impact of international remittances on private school enrolment in Kerala. Using data from the 2010 Kerala Migration Survey and employing an instrumental variable (IV‐Probit) approach to address the endogeneity of migration, we found that remittances have a positive and significant effect on private school enrolment. After disaggregating the sample into different heterogeneous groups, we found that remittances have greater effect on boys, children residing in rural areas, and those belonging to socially advantageous groups and from higher wealth quintile. Children from lower wealth quintile and belonging to socially disadvantageous groups are least affected by migration and remittances.     

‘Ghost in the Shell’: Reflections on Fieldwork in Kazakhstan

After independence from the Soviet Union, Kazakhstan proclaimed Kazakhs the title ethnic group, and the Kazakh language the national language. This deprived the Russian-speaking population of its former dominant social position. Being a Russian-speaking citizen of Kazakhstan, the daughter of a half-Korean half-Russian father and a half-Kazakh half-German mother, I did my field work as a presumed ‘native’ anthropologist at Kazakhstan State University with linguistically divided groups of students. The relations between the field and the researcher disclosed different geopolitical realities of knowledge production and challenged the legacy of relativist methodology. I reflect on this experience and examine different conceptualisations of the native positionality in the post-Soviet context. Reflections in this paper raise new questions about nation-building in post-socialist states and about ‘nativeness’ itself, and contribute to the criticism of postmodern theory.     

Merging data from multiple sources: pretest and shrinkage perspectives

In this article, we have developed asymptotic theory for the simultaneous estimation of the k means of arbitrary populations under the common mean hypothesis and further assuming that corresponding population variances are unknown and unequal. The unrestricted estimator, the Graybill-Deal-type restricted estimator, the preliminary test, and the Stein-type shrinkage estimators are suggested. A large sample test statistic is also proposed as a pretest for testing the common mean hypothesis. Under the sequence of local alternatives and squared error loss, we have compared the asymptotic properties of the estimators by means of asymptotic distributional quadratic bias and risk. Comprehensive Monte-Carlo simulation experiments were conducted to study the relative risk performance of the estimators with reference to the unrestricted estimator in finite samples. Two real-data examples are also furnished to illustrate the application of the suggested estimation strategies.     

Transmuted generalized exponential distribution: A generalization of the exponential distribution with applications to survival data

In this article, we investigate the potential usefulness of the three-parameter transmuted generalized exponential distribution for analyzing lifetime data. We compare it with various generalizations of the two-parameter exponential distribution using maximum likelihood estimation. Some mathematical properties of the new extended model including expressions for the quantile and moments are investigated. We propose a location-scale regression model, based on the log-transmuted generalized exponential distribution. Two applications with real data are given to illustrate the proposed family of lifetime distributions.     

Effects of some design factors on the distribution of similarity indices in cluster analysis

This article investigates the effects of number of clusters, cluster size, and correction for chance agreement on the distribution of two similarity indices, namely, Jaccard and Rand indices. Skewness and kurtosis are calculated for the two indices and their corrected forms then compared with those of the normal distribution. Three clustering algorithms are implemented: complete linkage, Ward, and K-means. Data were randomly generated from bivariate normal distributions with specified means and variance covariance matrices. Three-way ANOVA is performed to assess the significance of the design factors using skewness and kurtosis of the indices as responses. Test statistics for testing skewness and kurtosis and observed power are calculated. Simulation results showed that independent of the clustering algorithms or the similarity indices used, the interaction effect cluster size x number of clusters and the main effects of cluster size and number of clusters were found always significant for skewness and kurtosis. The three way interaction of cluster size x correction x number of clusters was significant for skewness of Rand and Jaccard indices using all clustering algorithms, but was not significant using Ward's method for both Rand and Jaccard indices, while significant for Jaccard only using complete linkage and K-means algorithms. The correction for chance agreement was significant for skewness and kurtosis using Rand and Jaccard indices when complete linkage method is used. Hence, such design factors must be taken into consideration when studying distribution of such indices.     

Optimal acceptance sampling policy considering Bayesian risks

In this paper, we propose a sampling policy considering Bayesian risks. Various definitions of producer's risk and consumer's risk have been made. Bayesian risks for both producer and consumer are proven to give better information to decision-makers than classical definitions of the risks. So considering the Bayesian risk constraints, we seek to find optimal acceptance sampling policy by minimizing total cost, including the cost of rejecting the batch, the cost of inspection, and the cost of defective items detected during the operation. Proper distributions to construct the objective function of the model are specified. In order to demonstrate the application of the proposed model, we illustrate a numerical example. Furthermore, the results of the sensitivity analysis show that lot size, the cost of inspection, and the cost of one defective item are key factors in sampling policies. The acceptable quality level, the lot tolerance proportion defective, and Bayesian risks also affect the sampling policy, but variations of acceptable quality level and producer Bayesian risks, for values more than a specified value, cause no changes in sampling policy.     

Family Economy,Rural School Choice,and Flexischooling Children with Disabilities

Most homeschooled students would be more accurately described as “flexischooled,” partly homeschooled and partly enrolled in school. The popularity of these two alternatives to public or private school enrollment has increased over the past several decades to the extent that, by 2012 over 2 million students, 4 percent of the population, were either flexischooled or homeschooled in the United States. To understand why parents have pursued these options over enrollment, we employed a family economy perspective, arguing that family, child, and locational considerations shaped parents' motivations for homeschooling or flexischooling over enrollment. For example, parents' decisions were partially shaped by the interaction between children's disability status and rural location. Using data from the National Household Education Survey 2012, this article first describes the prevalence of flexischooling and full‐time homeschooling. Then, it demonstrates how various family, child, and locational factors shape the odds of flexischooling and homeschooling, and then examines the interaction between location and children's disability status in detail. We discuss the implications of our findings for family economy theoretical perspectives, flexischooling, and rural education research.