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Massive Data Sets: Problems and Possiblities, with Application to Environmental Monitoring
Pages 115-120

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From page 115...
... As a consequence, scientists working with massive data sets will commission analyses by people with good computer training but often minimal statistics training. This scenario is not new but it is exacerbated bv massive-data rich en (e F in environmental investigations, an area familiar to us)
From page 116...
... It is curious, but we have observed that as data sets go from "small" to "medium," the statistical analysis and models used tend to become more complicated, but in going from "medium" to "large," the level of complication may even decrease! That would seem , , , , , , , ,, · q~ .
From page 117...
... Data that exhibit statistical dependence do not need to be looked at in their entirety for many purposes because there is much redundancy. Application to the Environmental Sciences Environmental studies, whether they are involved in long-term monitoring or short-term waste-site characterization and restoration, are beginning to face the problems of dealing with massive data sets.
From page 118...
... environmental data sets. Also, biological processes that exhibit spatio-temporal smoothness can be described and predicted with parsimonious statistical models, even though we may not understand the etiologies of the phenomena.
From page 119...
... (1991~. Looking at large data sets using binned data plots, in A


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