Consistent Estimation of the Structural Distribution Function

Motivated by problems in linguistics we consider a multinomial random vector for which the number of cells N is not much smaller than the sum of the cell frequencies, i.e. the sample size n . The distribution function of the uniform distribution on the set of all cell probabilities multiplied by N is called the structural distribution function of the cell probabilities. Conditions are given that guarantee that the structural distribution function can be estimated consistently as n increases indefinitely although n / N does not. The natural estimator is inconsistent and we prove consistency of essentially two alternative estimators.     

Machine learning and design of experiments with an application to product innovation in the chemical industry

Industrial statistics plays a major role in the areas of both quality management and innovation. However, existing methodologies must be integrated with the latest tools from the field of Artificial Intelligence. To this end, a background on the joint application of Design of Experiments (DOE) and Machine Learning (ML) methodologies in industrial settings is presented here, along with a case study from the chemical industry. A DOE study is used to collect data, and two ML models are applied to predict responses which performance show an advantage over the traditional modeling approach. Emphasis is placed on causal investigation and quantification of prediction uncertainty, as these are crucial for an assessment of the goodness and robustness of the models developed. Within the scope of the case study, the models learned can be implemented in a semi-automatic system that can assist practitioners who are inexperienced in data analysis in the process of new product development.     

Continuity and change in work-life balance choices

This paper explores the ways in which the work-life balance choices made by heterosexual couples differ in different generations, how such choices are gendered, and the extent to which 'individualization' provides an adequate conceptualization of the effects of social change on heterosexual couples. It argues that processes of individualization need to be seen in the context of changing social institutions, and that it is the de-institutionalization of 'the family' and the life course that is leading to a de-gendering of work-life balance choices. The paper draws on findings from a restudy of the family and social change and a study of the gender dimensions of job insecurity both of which were carried out in the same geographical location. The studies provide evidence of generational change in work-life balance choices and increasing occupational differentiation between heterosexual partners. This leads to a situation where increasingly choices are made which blur gendered boundaries and which has been made possible by a process of de-institutionalization of the male breadwinner family. Our findings support the contention that processes of individualization are more apparent amongst younger than older generations and that, because of changes external to the family, there is more negotiation and pragmatism amongst younger generations about work-life choices.     

Effects of demography and urbanization on stress and body condition in urban white-tailed deer

Urban Ecosystems - White-tailed deer (Odocoileus virginianus) are becoming increasingly common in urban environments. How they respond to potential changes (i.e. increased human interactions,...     

Cultural Connection Predicts Perceptions of Financial Security for Māori

This paper examines the impact of relative income on income satisfaction with given absolute income. We conducted an experiment in China where participants earned three different levels of income according to their relative performance in a task. While the treatment group was informed about their relative income, the control group only knew their own absolute income. We found that while controlling for absolute income and other factors, information about relative income increases the satisfaction of the high-income group and reduces the satisfaction of the low-income group. Relative income may interact with individual characteristics, such as gender, to affect income satisfaction. We also found that relative income treatment significantly increases income satisfaction inequality, primarily by causing social comparisons among different income groups, which has some welfare implications.     

Public relations and artificial intelligence: It’s not (just) about robots

Organizations of all kinds, as well as their in-house or agency public relations teams, increasingly co-opt Artificial Intelligence (AI) to enhance their capabilities. This paper examines a relatively new topic that has received little scholarly attention: the growing relationship between AI and public relations. It outlines several key roles that AI may play in future, based on trends in other industries, and considers the implications for public relations practitioners, their clients and employers. It therefore launches a dialogue about the diversity and extent of AI’s uses in public relations practice. The paper argues that, to date, commentators have placed too much emphasis on AI’s potential for task automation; AI’s broader technological, economic and societal implications for public relations warrant greater critical attention. This does not imply that practitioners need become expert technologists; rather, they should develop a sufficient understanding of AI’s present and potential uses to be able to offer informed counsel.