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independent estimation

См. также в других словарях:

  • 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

  • Independent State of Samoa — Samoa Pour les articles homonymes, voir Samoa (homonymie). Malo Sa oloto Tuto atasi o Samoa (sm) …   Wikipédia en Français

  • Trend 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 …   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

  • Entropy 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 …   Wikipedia

  • 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 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

  • Recursive Bayesian estimation — is a general probabilistic approach for estimating an unknown probability density function recursively over time using incoming measurements and a mathematical process model. Model The true state x is assumed to be an unobserved Markov process,… …   Wikipedia

  • Least-squares estimation of linear regression coefficients — In parametric statistics, the least squares estimator is often used to estimate the coefficients of a linear regression. The least squares estimator optimizes a certain criterion (namely it minimizes the sum of the square of the residuals). In… …   Wikipedia

  • Fixed effects estimation — In econometrics and statistics the fixed effects estimator (also known as the within estimator) is an estimator for the coefficients in panel data analysis. If we assume fixed effects, we impose time independent effects for each entity.… …   Wikipedia

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