- statistical measures
- статистические показатели ;
Англо-Русский словарь финансовых терминов. 2000.
statistical measures
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Statistical semantics — is the study of how the statistical patterns of human word usage can be used to figure out what people mean, at least to a level sufficient for information access (Furnas, 2006). How can we figure out what words mean, simply by looking at… … Wikipedia
Statistical coupling analysis — or SCA is a technique used in bioinformatics to measure covariation between pairs of amino acids in a protein multiple sequence alignment (MSA). More specifically, it quantifies how much the amino acid distribution at some position i changes upon … Wikipedia
Statistical methodology analysis reporting technique — (SMART) is an approach that was developed in 1995 by Dr Gerard Macioce to improve an organization s performance monitoring platform. The proof of concept was performed in the commercial sector and later in the US federal government. The processes … Wikipedia
Statistical dispersion — In statistics, statistical dispersion (also called statistical variability or variation) is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard… … Wikipedia
Measures of national income and output — A variety of measures of national income and output are used in economics to estimate total economic activity in a country or region, including gross domestic product (GDP), gross national product (GNP), and net national income (NNI). All are… … Wikipedia
Statistical significance — In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. A statistically significant difference simply means there is statistical evidence that there is a difference; it does not mean the… … Wikipedia
Statistical power — The power of a statistical test is the probability that the test will reject a false null hypothesis (that it will not make a Type II error). As power increases, the chances of a Type II error decrease. The probability of a Type II error is… … Wikipedia
Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on … Wikipedia
Risk Measures — Statistical measures that are historical predictors of investment risk and volatility and major components in modern portfolio theory (MPT). MPT is a standard financial and academic methodology for assessing the performance of a stock or a stock… … Investment dictionary
Statistical potential — In protein structure prediction, a statistical potential (also knowledge based potential, empirical potential, or residue contact potential) is an energy function derived from an analysis of known structures in the Protein Data Bank. Typical… … Wikipedia
Measures of pollutant concentration — NOEL redirects here. For other uses, see Noel (disambiguation). Measures of pollutant concentration are used to determine risk assessment in public health. Industry is continually synthesizing new chemicals, the regulation of which requires… … Wikipedia
