Abstract
Conditional inference has an ease of implementation that is generally unavailable with marginal inference. The main patterns for conditional inference are provided by the location and transformation families as initiated by Fisher, and by the exponential patterns as initiated by Neyman and Pearson; these are surveyed briefly together with some discussion as to how and why conditioning should be used in inference for them.
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