On expected sample range from heterogeneous symmetric distributions

It is shown that for independent (but not necessarily identically distributed) random variables with distributions symmetric about the respective medians (means), the expected value of the sample range is a minimum when these means are all equal.     

Conceptualization of power sharing between partners in couple relationships: a scale development study in Turkey

In this study, the Power Sharing in Couple Relationships Scale (PSCRS) was developed to measure the distribution of power as experienced by individuals in heterosexual marriages or cohabiting relationships. Three sets of participants partook in the study: 27 individuals were in the pilot group; 400 individuals (female = 200, male = 200) were in the exploratory factor analysis group and 242 persons (female = 139, male = 103) were in the confirmatory factor analysis group. Factor analyses resulted in a structure consisting of 30 items and five dimensions, namely, friendship, power over, reactivity to relational stress, openness to influence, and making a relational claim. Results showed evidence for satisfactory psychometric properties.     

Sustaining Small Entrepreneurs Through a Microcredit Program in Penang,Malaysia: A Case Study

Microcredit has been recognized as one of the most efficient tools for alleviating poverty by the United Nations considering its significant contribution in terms of job creation and revenue generation for governments. Microcredit programs can change the lives of people and revitalize communities in the world’s poorest as well as the richest countries. This study looks at 350 entrepreneurs who joined the scheme of various microcredit programs in Penang, Malaysia. In this study, findings have been obtained that show that microcredit loans have successfully increased entrepreneur income, have positive impacts on business, and fulfill basic needs of entrepreneurs.     

The New Toll on Higher Education and the UK Student Revolts of 2010–2011

This profile gives an overview of the student protests and university occupations of the winter of 2010–2011 against the Conservative–Liberal Democrat coalition government's higher education bill. In particular, the lifting of the cap on annual higher education tuition fees to £9000 pa was widely perceived by students (and lecturers) as unjust, unfair and a very real barrier to higher education. In order to understand the political dynamics of these student mobilisations, I argue both that we need to consider the network structure that exists on university campuses and how it facilitates political mobilisations, and to see the protests as a moral economy directed against a new toll on higher education.     

Stock Market and Aggregate Investment Behavior in Malaysia: An Empirical Analysis

The present paper analyzes the role of stock market, more specifically real stock prices and stock market uncertainty/volatility, on aggregate investment behavior for an emerging market, Malaysia. Employing the autoregressive distributed lags approach to cointegration test, the paper establishes a long run equilibrium that ties the aggregate investment to its determinants—real income, real stock prices, real lending rate and stock market volatility. In the long run, we document a positive relation between aggregate investment and real stock prices and a negative relation between aggregate investment and stock market volatility. These results are further supported by our analyses of their dynamic interactions based on Granger causality and impulse-response functions. Based on the results, the real stock market prices, which has yet reached the level recorded prior to the crisis, may have explained the low investment in Malaysia after the Asian crisis. Moreover, the stock market volatility can also post a threat to the investment performance.     

Architectural history of Ilorin mosques in the nineteenth and twentieth centuries

Although mosques worldwide serve the same spiritual purposes, they are significantly different in structure from one area to another within and among localities, countries and continents of the world. Muslims used whatever was available to them in their environment and their limited experience in building mosques resulted in structural differences in mosques until the age of globalisation, when some world-class mosque structures were popularised among Muslims. This paper is an attempt to produce a historical survey of the architectural designs of mosques in Ilorin in the nineteenth and twentieth centuries. Through exploratory research, the paper gives a thematic history of Ilorin mosques’ architecture that started as a simple structure in the nineteenth century reflecting the immediate cultural setting, to become edifices in the twentieth century reflecting outside cultural influences, for the purpose of meeting the spiritual, social, physical and psychological needs of Muslims.     

Returns on education amongst men in England and Wales: The impact of residential segregation and ethno-religious background

Individuals’ occupational and educational attainment is influenced by their ethnicity, religion and colour in the UK and elsewhere. In this paper, we analyse the impact of ethnicity, religion and colour along with residential segregation¹ and socio-economic deprivation on returns to education for men in England and Wales. We analyse the 2001 UK census data by employing multi-level logistic regression models. It is found that non-White groups including Christian Black-African, UK born Sikh-Indians and South Asian Muslims are found to suffer an ethnic penalty compared to Christian White-British. While there is evidence to suggest that Muslim men may experience a greater penalty compared to some non-Whites other non-Muslim groups too face ethno-religious penalties, sometimes even more severely such as in the case of Christian Black-Africans. Socio-economic difficulties faced by ethnic minorities are also linked to spatial segregation only when associated with high levels of area deprivation. This suggests that what matters may not be segregation per se, but whether or not it is associated with deprivation.     

Claim Dependence Induced by Common Effects in Hierarchical Credibility Models

In the usual credibility model, observations are made of a risk or group of risks selected from a population, and claims are assumed to be independent among different risks. However, there are some problems in practical applications and this assumption may be violated in some situations. Some credibility models allow for one source of claim dependence only, that is, across time for an individual insured risk or a group of homogeneous insured risks. Some other credibility models have been developed on a two-level common effects model that allows for two possible sources of dependence, namely, across time for the same individual risk and between risks. In this paper, we argue for the notion of modeling claim dependence on a three-level common effects model that allows for three possible sources of dependence, namely, across portfolios, across individuals and simultaneously across time within individuals. We also obtain the corresponding credibility premiums hierarchically using the projection method. Then we derive the general hierarchical structure or multi-level credibility premiums for the models with h-level of common effects.     

Prior elicitation, variable selection and Bayesian computation for logistic regression models

Bayesian selection of variables is often difficult to carry out because of the challenge in specifying prior distributions for the regression parameters for all possible models, specifying a prior distribution on the model space and computations. We address these three issues for the logistic regression model. For the first, we propose an informative prior distribution for variable selection. Several theoretical and computational properties of the prior are derived and illustrated with several examples. For the second, we propose a method for specifying an informative prior on the model space, and for the third we propose novel methods for computing the marginal distribution of the data. The new computational algorithms only require Gibbs samples from the full model to facilitate the computation of the prior and posterior model probabilities for all possible models. Several properties of the algorithms are also derived. The prior specification for the first challenge focuses on the observables in that the elicitation is based on a prior prediction y ₀ for the response vector and a quantity a ₀ quantifying the uncertainty in y ₀. Then, y ₀ and a ₀ are used to specify a prior for the regression coefficients semi-automatically. Examples using real data are given to demonstrate the methodology.