Search results

Present a method to impute missing data from a chaotic time series, in this case lightning prediction data, and then use that completed dataset to create lightning prediction forecasts.

Using the technique of spatiotemporal kriging to estimate data that is autocorrelated but in space and time. Using the estimated data in an imputation methodology completes a dataset used in lightning prediction.

The techniques provided prove robust to the chaotic nature of the data, and the resulting time series displays evidence of smoothing while also preserving the signal of interest for lightning prediction.

The research is limited to the data collected in support of weather prediction work through the 45th Weather Squadron of the United States Air Force.

These methods are important due to the increasing reliance on sensor systems. These systems often provide incomplete and chaotic data, which must be used despite collection limitations. This work establishes a viable data imputation methodology.

Improved lightning prediction, as with any improved prediction methods for natural weather events, can save lives and resources due to timely, cautious behaviors as a result of the predictions.

Based on the authors’ knowledge, this is a novel application of these imputation methods and the forecasting methods.

In 2005, the Qualitative Methods in Psychosocial Health Research Group (QMiPHR) at the University of Nottingham was established as a forum to bring together academics, researchers and practitioners with an interest in qualitative methods. The group has provided colleagues in nutrition, psychiatry, psychology, social work and sociology with a forum for discussion around the question of how qualitative research is able to contribute to understanding mental health and the development of evidence‐based treatment. As a group, we asked ourselves where we stood in relation to the use of qualitative methods in mental health. While we are unified in our view that qualitative research is important and under‐utilised in mental health research, our discussions uncovered a range of views on the underlying philosophical stance of what it means to be a qualitative researcher in mental health. The aim of this paper is to provide an overview of our discussions and our view that as qualitative approaches have become more widely accepted they have largely been assimilated within the mainstream ‘medical model’ of research. In this paper, we call for researchers to re‐engage with the philosophical discussion on the role and purpose of qualitative enquiry as it applies to mental health, and for practitioners and decision‐makers to be aware of the implicit values underpinning research.

This paper seeks to explore the effect of performance duration (rather than intensity) on the subsequent initiation of strategic change by firms. Specifically, the effect of outperformance and underperformance duration on strategic change, as well as the moderating effect of environmental dynamism, is studied.

Using a fixed-effects model, analyzing a sample of 34,907 firm-year observations from 1980 to 2018 across 112 industries mostly supported proposed hypotheses.

Results revealed a U-shaped relationship between outperformance duration and strategic change and an inverted U-shaped relationship between underperformance duration and strategic change. The moderation role of environmental dynamism was only partially supported.

This study examines a new dimension of performance feedback, namely duration, rather than the widely used intensity of performance feedback, to enhance our understanding of the behavioral theory of the firm.

Presents an integrated framework that would help manufacturing managers to select IT applications (manufacturing management systems) that are best suited to a given process structure and the intended competitive priorities of a firm. The proposed framework is based on the premiss that the process of matching IT applications to competitive priorities involves identification of key manufacturing tasks underlying different priorities and the corresponding process structures. The theoretic‐deductive approach is used to link the three vital elements ‐ competitive priorities, process structures and IT applications ‐ in the following application areas: product design, demand management, capacity planning, inventory management, shopfloor systems, quality management and distribution.