- observation vector
- мат. вектор результата наблюдения
Большой англо-русский и русско-английский словарь. 2001.
observation vector
Смотреть что такое "observation vector" в других словарях:
Vector autoregression — (VAR) is an econometric model used to capture the evolution and the interdependencies between multiple time series, generalizing the univariate AR models. All the variables in a VAR are treated symmetrically by including for each variable an… … Wikipedia
Vector soliton — Among all the soliton considered, the optical soliton draws the most attention as it is possible to generate ultrafast pulses and has wider application. optical soliton can be classified as two groups:temporal soliton and spatial soliton.however … Wikipedia
Foucault Pendulum vector diagrams — Several vector diagrams are often used to demonstrate the physics underlying the Foucault pendulum.Diagrams are provided to illustrate a pendulum located at the North Pole, equator, and 45 degrees N to show how the rotation of Earth in relation… … Wikipedia
Foucault pendulum vector diagrams — Several vector diagrams are often used to demonstrate the physics underlying the Foucault pendulum. Diagrams are provided to illustrate a pendulum located at the North Pole, equator, and 45 degrees N to show how the rotation of Earth in relation… … Wikipedia
Professeur Vector — Liste des personnages de l’univers de Harry Potter Cet article est une liste référençant les personnages de l univers de Harry Potter. Les personnages principaux peuvent être identifiés dans les articles suivants : Harry Potter Ron Weasley… … Wikipédia en Français
Septima Vector — Liste des personnages de l’univers de Harry Potter Cet article est une liste référençant les personnages de l univers de Harry Potter. Les personnages principaux peuvent être identifiés dans les articles suivants : Harry Potter Ron Weasley… … Wikipédia en Français
Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … Wikipedia
Degrees of freedom (statistics) — In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.[1] Estimates of statistical parameters can be based upon different amounts of information or data. The number… … Wikipedia
Quadratic classifier — A quadratic classifier is used in machine learning to separate measurements of two or more classes of objects or events by a quadric surface. It is a more general version of the linear classifier.The classification problemStatistical… … Wikipedia
Negative multinomial distribution — notation: parameters: k0 ∈ N0 the number of failures before the experiment is stopped, p ∈ Rm m vector of “success” probabilities, p0 = 1 − (p1+…+pm) the probability of a “failure”. support … Wikipedia
Orthogonality principle — In statistics and signal processing, the orthogonality principle is a necessary and sufficient condition for the optimality of a Bayesian estimator. Loosely stated, the orthogonality principle says that the error vector of the optimal estimator… … Wikipedia
