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distribution-free approximation

См. также в других словарях:

  • Exponential distribution — Not to be confused with the exponential families of probability distributions. Exponential Probability density function Cumulative distribution function para …   Wikipedia

  • Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …   Wikipedia

  • Born approximation — Not to be confused with the Born–Oppenheimer approximation. In scattering theory and, in particular in quantum mechanics, the Born approximation consists of taking the incident field in place of the total field as the driving field at each point… …   Wikipedia

  • Mean free path — In physics, the mean free path is the average distance covered by a moving particle (such as an atom, a molecule, a photon) between successive impacts (collisions) [1] which modify its direction or energy or other particle properties. Contents 1… …   Wikipedia

  • Helmholtz free energy — In thermodynamics, the Helmholtz free energy is a thermodynamic potential which measures the “useful” work obtainable from a closed thermodynamic system at a constant temperature and volume. For such a system, the negative of the difference in… …   Wikipedia

  • Stochastic context-free grammar — A stochastic context free grammar (SCFG; also probabilistic context free grammar, PCFG) is a context free grammar in which each production is augmented with a probability. The probability of a derivation (parse) is then the product of the… …   Wikipedia

  • Structural equation modeling — (SEM) is a statistical technique for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This definition of SEM was articulated by the geneticist Sewall Wright (1921),[1] the… …   Wikipedia

  • Probably approximately correct learning — In computational learning theory, probably approximately correct learning (PAC learning) is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant.[1] In this framework, the learner receives samples… …   Wikipedia

  • Q-Q plot — Not to be confused with P P plot. A normal Q Q plot of randomly generated, independent standard exponential data, (X   Exp(1)). This Q Q plot compares a sample of data on the vertical axis to a statistical population on the horizontal… …   Wikipedia

  • STATISTIQUE — Le mot «statistique» désigne à la fois un ensemble de données d’observation et l’activité qui consiste dans leur recueil, leur traitement et leur interprétation. Au cours de l’histoire, la collecte d’observations et la méthodologie de leur emploi …   Encyclopédie Universelle

  • Wilcoxon-Vorzeichen-Rang-Test — Der Wilcoxon Vorzeichen Rang Test ist ein nichtparametrischer statistischer Test. Er prüft anhand zweier gepaarter Stichproben die Gleichheit der zentralen Tendenzen der zugrundeliegenden (verbundenen) Grundgesamtheiten. Im Anwendungsbereich… …   Deutsch Wikipedia

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