Estimation

• 101Location estimation in sensor networks — Location estimation in wireless sensor networks is the problem of estimating the location of an object from a set of noisy measurements, when the measurements are acquired in a distributedmanner by a set of sensors.MotivationIn many civilian and&#8230; …

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• 102Maximum 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&#8230; …

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• 103sous-estimation — [ suzɛstimasjɔ̃ ] n. f. • 1898; de sous et estimation ♦ Action de sous estimer. ⇒ sous évaluation. Sous estimation d un bien, des capacités de qqn. ⊗ CONTR. Surestimation. ● sous estimation, sous estimations nom féminin Action de sous estimer. ●&#8230; …

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• 104Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation …

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• 105Point estimation — In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a best guess for an unknown (fixed or random) population parameter.More formally, it is the application of a&#8230; …

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• 106Interval estimation — In statistics, interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter. The most prevalent forms of interval estimation are: * confidence intervals (a frequentist&#8230; …

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• 107Motion estimation — is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill posed problem as the motion is in three dimensions but the images are a&#8230; …

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• 108Rasch model estimation — Various techniques are employed in order to estimate parameters of the Rasch model from matrices of response data. The most common approaches are methods of maximum likelihood estimation, such as joint and conditional maximum likelihood&#8230; …

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• 109Frequency estimation — This article is about the technique in signal processing. The term frequency estimation can also refer to probability estimation. Frequency estimation is the process of estimating the complex frequency components of a signal in the presence of&#8230; …

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• 110Entropy estimation — Estimating the differential entropy of a system or process, given some observations, is useful in various science/engineering applications, such as Independent Component Analysis [Dinh Tuan Pham (2004) Fast algorithms for mutual information based …

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