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volume-statistical method of estimating reserves - vertaling naar russisch
BRANCH OF STATISTICS TO ESTIMATE MODELS BASED ON MEASURED DATA
Estimating parameters; Statistical estimation; Parameter estimation; Statistical estimator; Parametric Estimating; Parametric estimating; Estimation Theory; Estimating Parameters; Estimation problem; Estimation (econometrics); Applications of estimation theory
volume-statistical method of estimating reserves
нефтегазовая промышленность
объёмно-статистический метод оценки запасов
unit of volume
UNIT OF MEASUREMENT
Units of volume
математика
единица объема
volume measure
![Diagram showing how to measure volume using a graduated cylinder with [[fluid dram]] markings, 1926](https://commons.wikimedia.org/wiki/Special:FilePath/"How to Measure" diagram, with graduated cylinder measuring fluid drams, 1926.jpg?width=200 "Diagram showing how to measure volume using a graduated cylinder with [[fluid dram]] markings, 1926")
QUANTITY OF THREE-DIMENSIONAL SPACE
Volume measure; Volumes or capacities of other orders of magnitude; Volumes; Volumetric; Volume (geometry); Volume (mathematics); Spatial volume; Volume (unit); Volumetry; Volume of a cone; Liquid capacity; Fluid capacity; Cubic length; List of volume formulas
общая лексика
мера объема
Definitie
грип
ГРИП, ГРИПП, гриппа, ·муж. (·франц. grippe) (мед.). Инфекционная болезнь - катарральное воспаление дыхательных путей, сопровождаемое лихорадочным состоянием; то же, что инфлуэнца
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Wikipedia
Estimation theory
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements. In estimation theory, two approaches are generally considered:
- The probabilistic approach (described in this article) assumes that the measured data is random with probability distribution dependent on the parameters of interest
- The set-membership approach assumes that the measured data vector belongs to a set which depends on the parameter vector.
