Uncertainty in the Construction and Interpretation of Mesoscale Models of Physical and Biological Processes

  • Richard A. Berk


It is impossible to do serious modeling in the social sciences without confronting uncertainty. Social scientists rarely have effective control over their research setting, so that the phenomenon being studied cannot be isolated from a host of confounding influences. For much the same reason, social science data usually come with a healthy dose of measurement problems; at the very least, the measures contain substantial “noise.” Finally, popular research designs in the social sciences, resting on probability sampling and/or random assignment, necessarily introduce a chance component into any dataset.


Regional Climate Model Probability Sampling Mesoscale Model Emission Flux Hierarchical Framework 
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© Chapman & Hall 1994

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  • Richard A. Berk

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