Background and Objectives: Work sampling is a useful technique to characterize how employees allocate their work time to various activities. Given the value of nurses’ time for quality health care delivery, characterization of nursing time distribution may provide useful information for optimal use of nursing staff. The purpose of the present study was to explore time allocatio...

background and objectives: work sampling is a useful technique to characterize how employees allocate their work time to various activities. given the value of nurses’ time for quality health care delivery, characterization of nursing time distribution may provide useful information for optimal use of nursing staff. the purpose of the present study was to explore time allocation by nurses using...

. We consider a multivariate continuous time process, generated by a system of linear stochastic di¤erential equations, driven by white noise and involving coe¢ cients that possibly vary over time. The process is observable only at discrete, but not necessarily equally-spaced, time points (though equal spacing signi…cantly simpli…es matters). Such settings represent partial extensions of ones s...

This work investigates how stochastic unmeasurable sampling jitter noise affects the result of system identification, and proposes a modification of known approaches to mitigate the effects of sampling jitter. By just assuming conventional additive measurement noise, the analysis shows that the identified model will get a bias in the transfer function amplitude that increases for higher frequen...

A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact inference in a CTBN is often intractable as the state space of the dynamic system grows exponentially with the number of variables. In this paper, we first present an approximate inference algorithm based on importance sam...

This paper extends work of Shen and Walter and others concerning relationships between sampling and time-frequency localization. We consider approximate projections onto eigenspaces of timeand bandlimiting operators, expressed in terms of samples of bandlimited functions. We establish error estimates of eigenfunction samples and on matrices that can be used to generate approximations of these s...