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 ...
BASIC SAMPLING STRATEGIES In most research projects, a scientist will determine the optimal sampling design from a specific narrowly defined set of hypotheses to be tested. That design will determine ...
Harrison, Bruce A., Callahan, M. C., Watts, D. M., and Panthusiri, L. 1982. "An efficient floating larval trap for sampling Aedes aegypti populations (Diptera ...