Katie Steele

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We focus on a class of multicriteria methods that are commonly used in environmental decision making--those that employ the weighted linear average algorithm (and this includes the popular analytic hierarchy process (AHP)). While we do not doubt the potential benefits of using formal decision methods of this type, we draw attention to the consequences of(More)
We argue that concerns about double-counting—using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate—deserve more careful scrutiny in climate modelling circles. It is widely held that double-counting is bad and that separate data must be used for calibration and confirmation. We show that(More)
A comparative analysis of the discriminating power of laser-induced breakdown spectroscopy (LIBS) and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), each coupled with refractive index (RI) measurements, is presented for a study of 23 samples of automobile float glass. Elemental emission intensity ratios (LIBS) and elemental(More)
There are many responses to Allais’s (1953) Paradox, some reconciling it with expected utility (EU) theory, others holding that the two cannot be reconciled (for better or worse for the theory). I here focus on a particular aspect of the debate—the extent to which EU axioms like Independence constrain the content of (not just the relationship between) our(More)
Abstract. Many examples of calibration in climate science raise no alarms regarding model reliability. We examine one example and show that, in employing Classical Hypothesis-testing, it involves calibrating a base model against Many examples of calibration in climate science raise no alarms regarding model reliability. We examine one example and show that,(More)
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