• population sampling, a sampling design specifies for every possible sample its probability of being drawn. Mathematically, a sampling design is denoted...
    2 KB (290 words) - 09:02, 30 May 2021
  • Thumbnail for Sampling (statistics)
    individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability...
    56 KB (7,598 words) - 20:59, 30 May 2025
  • important when the sample comes from a sampling method that is different than just picking people using a simple random sample. The design effect is a positive...
    97 KB (13,071 words) - 20:36, 5 June 2025
  • sampling and design-based inference are supplemented by other statistical methods, such as model-assisted sampling and model-based sampling. For example...
    14 KB (1,725 words) - 10:21, 20 March 2025
  • In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent...
    4 KB (658 words) - 12:06, 25 May 2025
  • In survey methodology, Poisson sampling (sometimes denoted as PO sampling: 61 ) is a sampling process where each element of the population is subjected...
    2 KB (285 words) - 05:40, 16 March 2025
  • In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element...
    2 KB (281 words) - 15:41, 9 June 2024
  • Thumbnail for Sampling (signal processing)
    {\displaystyle T} seconds, which is called the sampling interval or sampling period. Then the sampled function is given by the sequence: s ( n T ) {\displaystyle...
    31 KB (3,131 words) - 18:58, 8 May 2025
  • Thumbnail for Cluster sampling
    In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...
    16 KB (2,332 words) - 04:09, 13 December 2024
  • In the design of experiments, consecutive sampling, also known as total enumerative sampling, is a sampling technique in which every subject meeting the...
    3 KB (229 words) - 08:53, 21 November 2022
  • Thumbnail for Environmental monitoring
    primary types of soil sampling are grab sampling and composite sampling. Grab sampling involves the collection of an individual sample at a specific time...
    58 KB (7,029 words) - 00:30, 16 June 2025
  • Nonprobability sampling is a form of sampling that does not utilise random sampling techniques where the probability of getting any particular sample may be calculated...
    7 KB (833 words) - 01:31, 1 May 2025
  • survey design. While not necessary for simple sampling, a sampling frame used for more advanced sample techniques, such as stratified sampling, may contain...
    9 KB (1,228 words) - 01:41, 21 June 2024
  • In survey methodology, probability-proportional-to-size (pps) sampling is a sampling process where each element of the population (of size N) has some...
    3 KB (347 words) - 01:16, 15 May 2025
  • This sampling scheme does not require more samples for more dimensions (variables); this independence is one of the main advantages of this sampling scheme...
    5 KB (634 words) - 13:41, 27 October 2024
  • ability to choose a good sample. Ahmed, Sirwan Khalid (December 2024). "How to choose a sampling technique and determine sample size for research: A simplified...
    2 KB (222 words) - 01:43, 1 May 2025
  • random sampling is a basic type of sampling and can be a component of other more complex sampling methods. The principle of simple random sampling is that...
    12 KB (1,788 words) - 20:49, 28 May 2025
  • _{i=1}^{n}w_{i}y'_{i}}{N}}} . If the sampling design is one that results in a fixed sample size n (such as in pps sampling), then the variance of this estimator...
    44 KB (9,001 words) - 09:30, 21 May 2025
  • Thumbnail for Thompson sampling
    maintain and sample from a posterior distribution over models. As such, Thompson sampling is often used in conjunction with approximate sampling techniques...
    11 KB (1,657 words) - 12:09, 10 February 2025
  • where x ¯ {\displaystyle {\bar {x}}} is the sample mean, s is the sample standard deviation and n is the sample size. The degrees of freedom used in this...
    52 KB (7,010 words) - 15:29, 21 May 2025
  • sampling or Gibbs sampling. (However, Gibbs sampling, which breaks down a multi-dimensional sampling problem into a series of low-dimensional samples...
    26 KB (4,481 words) - 08:48, 9 April 2025
  • Stratified sampling Cluster sampling distance sampling Multistage sampling Nonprobability sampling Slice sampling Sampling bias Sampling design Sampling distribution...
    87 KB (8,280 words) - 23:04, 12 March 2025
  • Acceptance sampling uses statistical sampling to determine whether to accept or reject a production lot of material. It has been a common quality control...
    6 KB (888 words) - 13:26, 11 June 2025
  • statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be a complex...
    3 KB (380 words) - 11:04, 14 January 2025
  • sampling is also related to umbrella sampling in computational physics. Depending on the application, the term may refer to the process of sampling from...
    26 KB (3,973 words) - 20:18, 9 May 2025
  • Other names used for it are 'activity sampling', 'occurrence sampling', and 'ratio delay study'. In a work sampling study, a large number of observations...
    7 KB (861 words) - 13:02, 29 December 2024
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    Emulator, Akai S950 and Akai MPC. Sampling is a foundation of hip-hop, which emerged when producers in the 1980s began sampling funk and soul records, particularly...
    55 KB (5,076 words) - 13:15, 7 June 2025
  • called Solidaridad, created in 1988 and renamed Progresa in 1997. It is designed to target poverty by providing cash payments to families in exchange for...
    28 KB (3,626 words) - 15:38, 16 June 2025
  • the sample to the 3-D material is valid because of the randomness of the sampling design, so this is called design-based sampling inference. Design-based...
    15 KB (2,144 words) - 21:18, 7 January 2024
  • Thumbnail for Stratified sampling
    In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...
    11 KB (1,524 words) - 08:27, 9 June 2025