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
individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability...
54 KB (7,394 words) - 05:47, 20 May 2024
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 (13,070 words) - 20:07, 28 May 2024
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) - 16:04, 29 March 2024
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) - 13:21, 28 September 2023
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 (1,789 words) - 17:28, 5 April 2024
In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...
11 KB (1,522 words) - 03:36, 26 April 2024
Stratified sampling Cluster sampling distance sampling Multistage sampling Nonprobability sampling Slice sampling Sampling bias Sampling design Sampling distribution...
87 KB (8,280 words) - 16:24, 10 June 2024
and let sampling be performed by measuring the value of the continuous function every T seconds, which is called the sampling interval or sampling period...
30 KB (3,039 words) - 05:20, 29 May 2024
In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...
16 KB (2,205 words) - 20:48, 3 March 2024