sampling

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Related to Sample size: sampling techniques

sam·pling

 (săm′plĭng)
n.
1. Statistics See sample.
2.
a. The act, process, or technique of selecting an appropriate sample.
b. A small portion, piece, or segment selected as a sample.

sampling

(ˈsɑːmplɪŋ)
n
1. (Statistics) the process of selecting a random sample
2. (Statistics) a variant of sample2
3. (Pop Music) the process of taking a short extract from (a record) and mixing it into a different backing track
4. (Telecommunications) a process in which a continuous electrical signal is approximately represented by a series of discrete values, usually regularly spaced

sam•pling

(ˈsæm plɪŋ, ˈsɑm-)

n.
1. the act or process of selecting a sample for testing.
2. the sample so selected.
[1630–40]
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.sampling - (statistics) the selection of a suitable sample for study
selection, choice, option, pick - the act of choosing or selecting; "your choice of colors was unfortunate"; "you can take your pick"
random sampling - the selection of a random sample; each element of the population has an equal chance of been selected
proportional sampling, representative sampling, stratified sampling - the population is divided into subpopulations (strata) and random samples are taken of each stratum
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
2.sampling - items selected at random from a population and used to test hypotheses about the population
acceptance sampling - a statistical procedure for accepting or rejecting a batch of merchandise or documents; involves determining the maximum number of defects discovered in a sample before the entire batch is rejected
distribution, statistical distribution - (statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrence
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
random sample - a sample in which every element in the population has an equal chance of being selected
proportional sample, representative sample, stratified sample - the population is divided into strata and a random sample is taken from each stratum
3.sampling - measurement at regular intervals of the amplitude of a varying waveform (in order to convert it to digital form)
measurement, measuring, mensuration, measure - the act or process of assigning numbers to phenomena according to a rule; "the measurements were carefully done"; "his mental measurings proved remarkably accurate"
telecom, telecommunication - (often plural) systems used in transmitting messages over a distance electronically
Translations
vzorkování
näyteotantasamplaussämpläys

sampling

[ˈsɑːmplɪŋ] Nmuestreo m

sampling

n (of food)Kostprobe f; (of wine)Weinprobe f; (Statistics) → Stichprobenverfahren nt
attr (Statistics) → Stichproben-; sampling errorFehler mim Stichprobenverfahren

sam·pling

n. muestreo; hacer muestras; selección partitiva;
random ______ al azar.
References in periodicals archive ?
For adaptive designs [1], although sample size may be adjusted according to information accumulated after the study begins, the adjustment plan is pre-specified at the design stage.
A number of statistics are proposed and evaluated under different conditions of varying test length and sample size using a simulation study.
Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures.
In ACS the expected final sample size varies from sample to sample.
The power of the LRT for the independence between two groups of variables is small when the sample size is 25 elements, which is associated with the low correlation (r=0.
According to the company, the sample size reassessment was included as part of the protocol to confirm that the original assumptions are in line with the study and that the sample size is adequate.
This guide explains how to determine sample size for studies with longitudinal and clustered correlated outcomes, which are widely used in medical, epidemiological, and behavioral studies.
We propose a more robust technique to estimate the effective sample size for the case of an autoregressive process of order 1 (AR1), a suitable hypothesis for many time series in meteorology and climate sciences.
Limitations of the study like inadequate power or small sample size etc should also be mentioned.
Owing to a lack of understanding of the impact of the test sample size on the reliability test, manufacturers often choose to perform viable testing to meet delivery deadlines instead of focusing on the time-consuming optimal testing for zero-defects.