Back نظرية التقدير Arabic Teoria de l'estimació Catalan Schätztheorie German Estimación estadística Spanish Zenbatespen Basque نظریه برآورد Persian Théorie de l'estimation French אמידה HE Becsléselmélet Hungarian Teoria della stima Italian
 | This article includes a list of general references, but it lacks sufficient corresponding inline citations. (April 2025) |
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An estimator attempts to approximate the unknown parameters using the measurements. In estimation theory, two approaches are generally considered:[1]
- The probabilistic approach (described in this article) assumes that the measured data is random with probability distribution dependent on the parameters of interest
- The set-membership approach assumes that the measured data vector belongs to a set which depends on the parameter vector.
- ^ Walter, E.; Pronzato, L. (1997). Identification of Parametric Models from Experimental Data. London, England: Springer-Verlag.
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