Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.
This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
Harrison, Bruce A., Callahan, M. C., Watts, D. M., and Panthusiri, L. 1982. "An efficient floating larval trap for sampling Aedes aegypti populations (Diptera ...
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