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unbiased estimation

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  • Unbiased estimation of standard deviation — In statistics, the standard deviation is often estimated from a random sample drawn from the population. The most common measure used is the sample standard deviation , which is defined by:s = sqrt{frac{1}{n 1} sum {i=1}^n (x i… …   Wikipedia

  • Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… …   Wikipedia

  • Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… …   Wikipedia

  • Minimum-variance unbiased estimator — In statistics a uniformly minimum variance unbiased estimator or minimum variance unbiased estimator (UMVUE or MVUE) is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter. The… …   Wikipedia

  • 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

  • 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

  • Stein's unbiased risk estimate — In statistics, Stein s unbiased risk estimate (SURE) is an unbiased estimator of the mean squared error of a given estimator, in a deterministic estimation scenario. In other words, it provides an indication of the accuracy of a given estimator.… …   Wikipedia

  • Location 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… …   Wikipedia

  • point estimation — Statistics. the process of determining a single estimated value (point estimate) of a parameter of a given population. Cf. interval estimation. [1960 65] * * * ▪ statistics       in statistics, the process of finding an approximate value of some… …   Universalium

  • 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

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