- sample of observations
- выборка наблюдений
Англо-русский словарь по экономике и финансам. — М.: Экономическая школа. А.В. Аникин, И.М. Оседчая, Б.Г. Федоров. 1993.
sample of observations
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Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample … Wikipedia
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Sample — A subset containing the characteristics of a larger population. Samples are used in statistical testing when population sizes are too large for the test to include all possible members or observations. A sample should represent the whole… … Investment dictionary
sample selection bias — Non random selection is both a source of bias in empirical research and a fundamental aspect of many social processes. When observations in social research are selected so that they are not independent of the outcome variables in a study, sample… … Dictionary of sociology
Random sample — A sample is a subject chosen from a population for investigation. A random sample is one chosen by a method involving an unpredictable component. Random sampling can also refer to taking a number of independent observations from the same… … Wikipedia
Experiments and Observations on Different Kinds of Air — (1774–86) is a six volume work published by eighteenth century British polymath Joseph Priestley which reports a series of his experiments on airs or gases, most notably his discovery of oxygen gas (which he called dephlogisticated air ).… … Wikipedia
Mean of the sample — The arithmetic average; that is, the sum of the observations divided by the number of observations. The New York Times Financial Glossary … Financial and business terms
mean of the sample — The arithmetic average ; that is, the sum of the observations divided by the number of observations. Bloomberg Financial Dictionary … Financial and business terms
Bootstrapping (statistics) — In statistics, bootstrapping is a modern, computer intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as… … Wikipedia
