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Generation Z's Consumption and Savings Preferences Amidst Economic Uncertainty: A Thematic Analysis Approach

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Rahma Hidayati   +5 more
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Model Uncertainty Analysis

2023
Uncertainty analysis of model parameters is critical in assessing the reliability and usefulness of a model’s predictions. In this chapter, we illustrate and discuss different uncertainty analysis methods. We present both frequentist and Bayesian approaches for uncertainty quantification.
Haiting Wang   +3 more
openaire   +1 more source

Interactive uncertainty analysis

Proceedings of the 2012 ACM international conference on Intelligent User Interfaces, 2012
Humans have difficulty evaluating the effects of uncertainty on schedules. People often mitigate the effects of uncertainty by adding slack based on experience and non-stochastic analyses such as the critical path method (CPM). This is costly as it leads to longer than necessary schedules, and can be ineffective without a clear understanding of where ...
Pedro Szekely   +5 more
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Uncertainty analysis of thermoreflectance measurements

Review of Scientific Instruments, 2016
We derive a generally applicable formula to calculate the precision of multi-parameter measurements that apply least squares algorithms. This formula, which accounts for experimental noise and uncertainty in the controlled model parameters, is then used to analyze the uncertainty of thermal property measurements with pump-probe thermoreflectance ...
Jia Yang, Elbara Ziade, Aaron J. Schmidt
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Investment Analysis Under Uncertainty

Management Science, 1969
Investment projects are described in this paper as a pattern of uncertain cash flows over time; i.e., as a cash flow pattern over an event tree. Whereas the portfolio problem of selecting projects generally requires simultaneous consideration of all available projects, here we seek sufficient conditions for accepting and rejecting individual projects.
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The uncertainty tree: Reducing the uncertainty of uncertainty analysis

Review of Scientific Instruments, 2002
Uncertainty analysis is an integral aspect of experimental measurements, though accurately assessing the flow of uncertainty in a measurement system—particularly for complicated systems with more than a few variables—can become a challenging, error-prone task, while being less enjoyable than it should be.
openaire   +1 more source

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