Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

The spread or standard deviation of this sampling distribution would capture the sample-to-sample variability of your estimate of the population mean. It would thus be a measure of the amount of ...

When the program is instructed to draw a large number of samples, you can see the development of the beginnings of a sampling distribution. There are programs for sampling distributions of sample ...

Sourav Chatterjee, Persi Diaconis, THE SAMPLE SIZE REQUIRED IN IMPORTANCE SAMPLING, The Annals of Applied Probability, Vol. 28, No. 2 (April 2018), pp. 1099-1135 ...

Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam R… ...

This article describes a cutpoint sampling method for efficiently sampling from an n-point discrete distribution that preserves the monotone relationship between a uniform deviate and the random ...

What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?