# Category:Sampling techniques

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Here is a list of articles in the category **Sampling techniques** of the Computing portal that unifies foundations of mathematics and computations using computers.

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This category is for techniques for statistical sampling from real-world populations, used in observational studies and surveys.

For techniques for sampling random numbers from desired probability distributions, see :category:Monte Carlo methods.

## Pages in category "Sampling techniques"

The following 34 pages are in this category, out of 34 total.

### B

- Bernoulli sampling
*(computing)*

### C

- Cluster sampling
*(computing)* - Consecutive sampling
*(computing)* - Convenience sampling
*(computing)*

### D

- Demon algorithm
*(computing)* - Distance sampling
*(computing)*

### E

- Event sampling methodology
*(computing)* - Experience sampling method
*(computing)* - Exponential tilting
*(computing)*

### G

- Gradsect
*(computing)*

### I

- Infrastructure bias
*(computing)*

### K

- Kish grid
*(computing)*

### L

- Latin hypercube sampling
*(computing)* - Line-intercept sampling
*(computing)*

### M

- Matching (statistics)
*(computing)* - Mean field particle methods
*(computing)* - Metropolis-adjusted Langevin algorithm
*(computing)* - Monte Carlo method
*(computing)* - Multilevel Monte Carlo method
*(computing)* - Multistage sampling
*(computing)*

### N

- Nonprobability sampling
*(computing)*

### P

- Particle filter
*(computing)* - Passive sampling
*(computing)* - Poisson sampling
*(computing)* - Preconditioned Crank–Nicolson algorithm
*(computing)*

### Q

- Quota sampling
*(computing)*

### R

- Random-sampling mechanism
*(computing)*

### S

- Simple random sample
*(computing)* - Snowball sampling
*(computing)* - Social polling
*(computing)* - Square root biased sampling
*(computing)* - Stratified sampling
*(computing)* - Survey sampling
*(computing)* - Systematic sampling
*(computing)*