Maximum Likelihood Estimation of a Poisson Parameter in a Model of Equioverlapping Samples:A Simulation Study

In a model of equioverlapping samples maximum likelihood estimation of a Poisson parameter is examined and compared with two linear unbiased estimations by mean squared error. Since a likelihood estimator is not explicitly available in general, a simulation study has been performed and the results are illustrated     

Asymptotic Equivalence of Seat Bias Models

Apportionment methods round vote proportions to integer numbers of seats in a parliament. An important issue is whether a given apportionment method treats larger and smaller parties equally or gives rise to seat biases. In this paper two models of quantifying seat biases of popular apportionment methods are compared to each other. The models are found to result in the same asymptotic behaviour when the number of seats available for apportionment grows large.     

Enhancing the entertainment experience of blind and low‐vision theatregoers through touch tours

In this paper we demonstrate how universal design theory and the research available on museum‐based touch tours can be used to develop a touch tour for blind and low‐vision theatregoers. We discuss these theoretical and practical approaches with reference to data collected and experience gained from the creation and execution of a touch tour for Hart House Theatre’s production of Hamlet at the University of Toronto. Finally, we offer up the possibility of using universal design theory to create a touch tour that would be attractive to all theatregoers.     

A note on willingness to pay and willingness to accept

In a recent paper Loehman (1991) derives some relationships between measures of benefit for nonmarket goods. This note presents some remarks on Loehman's methodology, several results, if the good considered is normal, and an extension to the case of pollution, i.e. public bads.I would like to thank an unknown referee for helpful comments.     

Hypotheses testing for generalized order statistics with simple order restrictions on model parameters under the alternative

In applications of generalized order statistics as, for instance, reliability analysis of engineering systems, prior knowledge about the order of the underlying model parameters is often available and may therefore be incorporated in inferential procedures. Taking this information into account, we establish the likelihood ratio test, Rao's score test, and Wald's test for test problems arising from the question of appropriate model selection for ordered data, where simple order restrictions are put on the parameters under the alternative hypothesis. For simple and composite null hypothesis, explicit representations of the corresponding test statistics are obtained along with some properties and their asymptotic distributions. A simulation study is carried out to compare the order restricted tests in terms of their power. In the set-up considered, the adapted tests significantly improve the power of the associated omnibus versions for small sample sizes, especially when testing a composite null hypothesis.     

Multivariate testing and model-checking for generalized order statistics with applications

The exponential family structure of the joint distribution of generalized order statistics is utilized to establish multivariate tests on the model parameters. For simple and composite null hypotheses, the likelihood ratio test (LR test), Wald's test, and Rao's score test are derived and turn out to have simple representations. The asymptotic distribution of the corresponding test statistics under the null hypothesis is stated, and, in case of a simple null hypothesis, asymptotic optimality of the LR test is addressed. Applications of the tests are presented; in particular, we discuss their use in reliability, and to decide whether a Poisson process is homogeneous. Finally, a power study is performed to measure and compare the quality of the tests for both, simple and composite null hypotheses.     

Unternehmenserfolg, Wechsel im Vorstandsvorsitz und Disziplinierung von Finanzvorständen

The Chief Financial Officer (CFO) is often referred to as a company’s No. 2 on contemporary management boards; yet corresponding empirical evidence is scarce. As a result, academic literature has not yet investigated whether CFOs—like CEOs—are dismissed more frequently if corporate performance is poor and to what extent forced Chief Executive Officer (CEO) turnover also influences disciplinary action towards CFOs. Therefore, in this paper we examine the antecedents of forced CFO departures in the largest German corporations between 1999 and 2006. Building on principal-agent theory, we expect respective relationships between the board of directors, the CEO, and the CFO. Moreover, we propose that principals also take team-specific and firm-specific human capital into consideration when disciplining agents. We find that poor corporate performance and forced CEO turnover both independently increase the likelihood of CFO dismissal. In addition, we find indications for a close team relationship between CFOs and CEOs. In summary, our results support the prominent role of CFOs alongside CEOs on contemporary management boards and suggest a more detailed consideration of CFOs in future research on performance consequences of managerial successions.     

Relations for m-generalized order statistics via an Opial-type inequality

An Opial-type inequality is applied to obtain relations for expectations of functions of m-generalized order statistics (m-gOSs), their distribution functions, as well as moment-generating functions. Respective inequalities for common order statistics and record values are contained as particular cases.     

Prime-age adult mortality in sub-Saharan Africa: examining trends in Demographic and Health Surveys conducted between 1990 and 2014

Adult mortality rate is a critical indicator used to assess the level of national development in most sub-Saharan African countries. However, estimation of adult mortality rates requires comprehensive and accurate reporting of adult deaths, which is one of the challenges faced by most sub-Saharan African countries. Using data from Demographic and Health Surveys conducted between 1990 and 2014 in 25 countries in sub-Saharan Africa, we examine trends in all-cause prime adult mortality (measured by the probability of dying between exact ages 15 and 50) and sex differences in adult mortality by region. Our paper provides a basis for tracking progress in reducing adult mortality and improving overall health. The median probability of dying was 173 per 1000 for women in the latest surveys, an increase from 166 per 1000 during the initial surveys. The median value for men was 177 per 1000; a decrease from the initial surveys which was 202 per 1000. Across all countries, the average annual increase in the probability of dying was higher for women (1.08%) than men (0.49%). Intensive efforts are needed to improve adult survival and ensure that sub-Saharan Africa achieves the Sustainable Development Goals by 2030. In particular, efforts to mitigate the premature risk of dying among women need to be intensified.