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Unprecedented events and trends detection, Changes interpretation, Reaction to changes, Organizational learning, and.
The authors, basing their research on organizational models describing the enterprise as an interpretative system [18], prove that the formalized process of foresight increases the ability of the following: Unprecedented events and trends detection, Changes interpretation, Reaction to changes, Organizational learning, and Influencing the decision of co-working entities.
Different prevalence and incidence of MODS in different papers might be attributable to many causes: study design (retro- vs. prospective), different case-mix of patients, secular trends, detection bias, reporting bias, different sources of data and chance; it can also be attributable to the use of different diagnostic criteria [27].
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Variants of the Mann-Kendall (MK) test considering influences of short-term persistence (STP), long-term persistence (LTP) and large-scale climate anomalies on trend detection were applied to detect trends, and the Pettitt test was used to evaluate change points.
Chandler, R. & Scott, M. Statistical Methods for Trend Detection and Analysis in the Environmental Sciences Wiley (2011).
Kundzewicz, Z. W. et al. Trend detection in river flow series: 1. Annu.
Kostas Tsioutsiouliklis is a Software Engineer in the Search & Relevance team at Twitter, working on trend detection.
The Mann-Kendall and Pettitt tests were used for trend detection.
In the model, trend detection is used to make good decisions based upon noisy drilling data.
However, shorter monitoring programs (⩽10 years) have insufficient power for trend detection.
Rigorous trend detection analysis has been exercised using variety of non-parametric methods which consider the effect of serial correlation during analysis.
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