- continuous estimation
- мат. непрерывное оценивание
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Continuous wavelet transform — of frequency breakdown signal. Used symlet with 5 vanishing moments. A continuous wavelet transform (CWT) is used to divide a continuous time function into wavelets. Unlike Fourier transform, the continuous wavelet transform possesses the ability … Wikipedia
Continuous quantum computation — Two major motivations for studying continuous quantum computation are: Many scientific problems have continuous mathematical formulations. Examples of such formulations are Path integration Feynman Kac path integration Schrödinger equation In… … Wikipedia
Estimation lemma — In mathematics, the estimation lemma gives an upper bound for a contour integral. If f is a complex valued, continuous function on the contour Gamma and if its absolute value | f ( z )| is bounded by a constant M for all z on Gamma, then:left|int … Wikipedia
Uniform distribution (continuous) — Uniform Probability density function Using maximum convention Cumulative distribution function … Wikipedia
Maximum spacing estimation — The maximum spacing method tries to find a distribution function such that the spacings, D(i), are all approximately of the same length. This is done by maximizing their geometric mean. In statistics, maximum spacing estimation (MSE or MSP), or… … Wikipedia
Discretization of continuous features — In statistics and machine learning, discretization refers to the process of converting or partitioning continuous attributes, features or variables to discretized or nominal attributes/features/variables/intervals. This can be useful when… … Wikipedia
Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… … Wikipedia
Minimum distance estimation — (MDE) is a statistical method for fitting a mathematical model to data, usually the empirical distribution. Contents 1 Definition 2 Statistics used in estimation 2.1 Chi square criterion … Wikipedia
Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… … Wikipedia
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… … Universalium