estimated parameter

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• Parameter identification problem — The parameter identification problem is a problem which can occur in the estimation of multiple equation econometric models where the equations have variables in common. More generally, the term can be used to refer to any situation where a… …   Wikipedia

• parameter — A model is a combination of variables, such as GDP growth, and coefficients which multiply these variables. The coefficients are often estimated from the data. The coefficients are called parameters. Bloomberg Financial Dictionary * * * parameter …   Financial and business terms

• Confidence interval — This article is about the confidence interval. For Confidence distribution, see Confidence Distribution. In statistics, a confidence interval (CI) is a particular kind of interval estimate of a population parameter and is used to indicate the… …   Wikipedia

• Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… …   Wikipedia

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

• Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …   Wikipedia

• Omitted-variable bias — In statistics, omitted variable bias (OVB) occurs when a model is created which incorrectly leaves out one or more important causal factors. The bias is created when the model compensates for the missing factor by over or under estimating one of… …   Wikipedia

• Levenberg–Marquardt algorithm — In mathematics and computing, the Levenberg–Marquardt algorithm (LMA)[1] provides a numerical solution to the problem of minimizing a function, generally nonlinear, over a space of parameters of the function. These minimization problems arise… …   Wikipedia

• Statistical model — A statistical model is a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or more random variables. The model is statistical… …   Wikipedia

• Root mean square deviation — The root mean square deviation (RMSD) ( also root mean square error (RMSE) ) is a frequently used measure of the differences between values predicted by a model or an estimator and the values actually observed from the thing being modeled or… …   Wikipedia

• Root-mean-square deviation — For the application of root mean square deviation to bioinformatics, see Root mean square deviation (bioinformatics). The root mean square deviation (RMSD) or root mean square error (RMSE) is a frequently used measure of the differences between… …   Wikipedia