JSTOR Daily

The Effects of Inference Method, Population Sampling, and Gene Sampling on Species Tree Inferences: An Empirical Study in Slender Salamanders (Plethodontidae: Batrachoseps)

Systematic Biology, Vol. 64, No. 1, SPECIAL ISSUE: MATHEMATICAL AND COMPUTATIONAL EVOLUTIONARY BIOLOGY (2013) (JANUARY 2015), pp. 66-83 (18 pages) Species tree methods are now widely used to infer the ...
JSTOR Daily

Geostatistical Inference under Preferential Sampling

Geostatistics involves the fitting of spatially continuous models to spatially discrete data. Preferential sampling arises when the process that determines the data locations and the process being ...
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Random Sampling: Key to Reducing Bias and Increasing Accuracy

Random sampling is a random means of gathering data points from all groups. It eliminates bias within your data sets by using randomness to gather points. True random sampling gives a better ...
Investopedia

Using Simple Random Sample to Study Larger Populations

Greg DePersio has 13+ years of professional experience in sales and SEO and 3+ years as a writer and editor. Simple random sampling is a method used to cull a smaller sample size from a larger ...
Investopedia

Representative Sample vs. Random Sample: What's the Difference?

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Representative sampling and random sampling ...