smile.stat

Interface Sampling

public interface Sampling

Random sampling Sampling is the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population.

Method Summary

Modifier and Type	Method and Description
static int[]	random(int n, double subsample) Random sampling.
static int[]	strateified(int[] category, double subsample) Stratified sampling.

Method Detail

random

static int[] random(int n,
                    double subsample)

Random sampling. All samples have an equal probability of being selected.

Parameters:

n - the size of samples.

subsample - sampling rate. Draw samples with replacement if it is 1.0.

strateified

static int[] strateified(int[] category,
                         double subsample)

Stratified sampling. When the population embraces a number of distinct categories, the frame can be organized by these categories into separate strata. Each stratum is then sampled as an independent sub-population, out of which individual elements can be randomly selected.

Parameters:

category - the strata labels.

subsample - sampling rate. Draw samples with replacement if it is 1.0.