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estimation techniques

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  • List of digital estimation techniques — *Linear models **Parameter Estimation ***Deterministic parameters ****Least squares (batch and recursive processing) ****Best linear unbiased estimation (BLUE) ****Maximum likelihood ***Random parameters ****Mean squared ****Maximum a posteriori… …   Wikipedia

  • Estimation de mouvement — L estimation de mouvement ou Motion estimation(en) est un procédé qui consiste à étudier le déplacement des objets dans une séquence vidéo, en cherchant la corrélation entre deux images successives afin de prédire le changement de position du… …   Wikipédia en Français

  • Estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… …   Wikipedia

  • Estimation of signal parameters via rotational invariant techniques — In estimation theory, estimation of signal parameters via rotational invariant techniques (ESPRIT) is a technique to determine parameters of a mixture of sinusoids in a background noise. References * …   Wikipedia

  • Techniques diagnostiques de prévision météorologique — Météorologiste à l oeuvre à Norman (Oklahoma) Plusieurs techniques diagnostiques de prévision météorologique ont été développées au cours des siècles et en particulier au cours du XXe siècle, avant le développement des ordinateurs. On parle… …   Wikipédia en Français

  • Spectral density estimation — In statistical signal processing, the goal of spectral density estimation is to estimate the spectral density (also known as the power spectrum) of a random signal from a sequence of time samples of the signal. Intuitively speaking, the spectral… …   Wikipedia

  • Structural estimation — Economists, econometricians, and statisticians use structural estimation techniques like GMM and maximum likelihood to estimate deep structural parameters of theoretical models. In this sense, structural estimation is contrasted with reduced form …   Wikipedia

  • Cost estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… …   Wikipedia

  • Software development effort estimation — is the process of predicting the most realistic use of effort required to develop or maintain software based on incomplete, uncertain and/or noisy input. Effort estimates may be used as input to project plans, iteration plans, budgets, investment …   Wikipedia

  • Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   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

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