statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term "survey" may refer...

statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from...

statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations...

Quota sampling is a method for selecting survey participants that is a non-probabilistic version of stratified sampling. In quota sampling, a population...

In July 2011, Survey Sampling International announced its merger with Utah-based Opinionology. Though a merger, the newly formed sampling and data collection...

In survey methodology, Poisson sampling (sometimes denoted as PO sampling: 61 ) is a sampling process where each element of the population is subjected...

list of students enrolled in a school system (see also sampling (statistics) and survey sampling). When two variables are related, or correlated, one can...

surveys, survey methodology studies the sampling of individual units from a population and associated techniques of survey data collection, such as questionnaire...

In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent...

country. Since sampling is almost always done to estimate population parameters that are unknown, by definition exact measurement of the sampling errors will...

In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population...

improve survey design. While not necessary for simple sampling, a sampling frame used for more advanced sample techniques, such as stratified sampling, may...

In sampling theory, the sampling fraction is the ratio of sample size to population size or, in the context of stratified sampling, the ratio of the sample...

randomization (stratified sampling and stratified allocation) Block randomization Systematic randomization Cluster randomization Multistage sampling Quasi-randomization...

is in the sample and 0 if it was not selected. This can occur with fixed sample size, or varied sample size sampling (e.g.: Poisson sampling). The probability...

randomization is also of importance: in survey sampling, use of sampling without replacement ensures the exchangeability of the sample with the population; in randomized...

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...

phenomenon under study rather than to the method of sampling. Medical sources sometimes refer to sampling bias as ascertainment bias. Ascertainment bias has...

the sampling design is correlated with the outcome of interest. For example, a possible sampling design might be such that each element in the sample may...

quality aspects of statistics released. The surveys conducted by the Ministry are based on scientific sampling methods. The Ministry of Statistics and Programme...

finite population sampling, a sampling design specifies for every possible sample its probability of being drawn. Mathematically, a sampling design is denoted...

With the application of probability sampling in the 1930s, surveys became a standard tool for empirical research in social sciences, marketing, and official...

based on samples of populations are subject to sampling error which reflects the effects of chance and uncertainty in the sampling process. Sampling polls...

In survey methodology, probability-proportional-to-size (pps) sampling is a sampling process where each element of the population (of size N) has some...

bias". They claimed the sampling methods used "will result in an over-estimation of the death toll in Iraq" because "by sampling only cross streets which...

In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element...

complicated sampling techniques, such as stratified sampling, the sample can often be split up into sub-samples. Typically, if there are H such sub-samples (from...

treatment effects, to test hypotheses, and to optimize responses. Survey sampling to describe populations The task of summarising statistical data in...

In survey sampling, Total Survey Error includes all forms of survey error including sampling variability, interviewer effects, frame errors, response...

plot sampling is a widely used method of abundance estimation in which specific areas, or plots, are selected from within a survey region and sampled. This...