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     

The role of HRD in bridging the research-practice gap: the case of learning and development

ABSTRACT

An enduring challenge for HRD is ensuring academic research achieves impact on professional practice. We have located this research within debates about the research-practice gap. To investigate this challenge, we analyse case studies of academic impact from all disciplines submitted to the United Kingdom’s 2014 research assessment exercise (REF 2014). We found that Learning and Development was a primary focus of significant number of impact case studies submitted across all disciplines compared to other areas of HR and HRD. We also found that Learning and Development was a key path to Impact. These findings reveal that Learning and Development in a work context plays a pivotal role in helping researchers irrespective of discipline achieve impact. Our findings therefore speak to the research-practice gap across academia. We conclude by considering the potential role for HRD in generating impact.     

Projecting Long-Term Care Expenditure in Four European Union Member States: The Influence of Demographic Scenarios

This study examines the sensitivity of future long-term care demand and expenditure estimates to official demographic projections in four selected European countries: Germany, Spain, Italy and the United Kingdom. It uses standardised methodology in the form of a macro-simulation exercise and finds evidence for significant differences in assumptions about demographic change and its effect on the demand for long-term care, and on relative and absolute long-term care expenditure. It concludes that mortality-rate assumptions can have a considerable influence on welfare policy planning. Relative dispersion between country-specific and Eurostat official estimates was found to be higher for the United Kingdom and Germany than for Italy and Spain, suggesting that demographic projections had a greater influence in those countries.

On best affine prediction

The theory of best affine prediction (BAP) is extended to the vector case with possibly singular variance matrix of the predictor variable. The theory is then applied to derive Thomson’s classical predictor for factor scores, allowing for a singular variance matrix of the factors. The results are formulated in a free distribution setting. Further, Bartlett’s estimator is considered and compared with Thomson’s predictor. The authors are thankful to the two referees, one for a suggestion that led to the Addendum of the paper, and the other one for several very useful remarks. Research supported by the Spanish grant BEC2000-0983.