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- Estimation_theory abstract "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.For example, it is desired to estimate the proportion of a population of voters who will vote for a particular candidate. That proportion is the parameter sought; the estimate is based on a small random sample of voters.Or, for example, in radar the goal is to estimate the range of objects (airplanes, boats, etc.) by analyzing the two-way transit timing of received echoes of transmitted pulses. Since the reflected pulses are unavoidably embedded in electrical noise, their measured values are randomly distributed, so that the transit time must be estimated.In estimation theory, two approaches are generally considered. 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.For example, in electrical communication theory, the measurements which contain information regarding the parameters of interest are often associated with a noisy signal. Without randomness, or noise, the problem would be deterministic and estimation would not be needed.".
- Estimation_theory wikiPageExternalLink estimation.
- Estimation_theory wikiPageExternalLink demtp1.
- Estimation_theory wikiPageID "1565926".
- Estimation_theory wikiPageRevisionID "606206977".
- Estimation_theory hasPhotoCollection Estimation_theory.
- Estimation_theory subject Category:Estimation_theory.
- Estimation_theory subject Category:Signal_processing.
- Estimation_theory subject Category:Statistical_inference.
- Estimation_theory comment "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.For example, it is desired to estimate the proportion of a population of voters who will vote for a particular candidate.".
- Estimation_theory label "Estimación estadística".
- Estimation_theory label "Estimation theory".
- Estimation_theory label "Teoria da estimativa".
- Estimation_theory label "Teoria della stima".
- Estimation_theory label "Teoria estymacji".
- Estimation_theory label "نظرية التقدير".
- Estimation_theory label "估计理论".
- Estimation_theory sameAs Estimación_estadística.
- Estimation_theory sameAs Zenbatespen.
- Estimation_theory sameAs Teoria_della_stima.
- Estimation_theory sameAs 추정_이론.
- Estimation_theory sameAs Teoria_estymacji.
- Estimation_theory sameAs Teoria_da_estimativa.
- Estimation_theory sameAs m.05bx9m.
- Estimation_theory sameAs Q1376021.
- Estimation_theory sameAs Q1376021.
- Estimation_theory wasDerivedFrom Estimation_theory?oldid=606206977.
- Estimation_theory isPrimaryTopicOf Estimation_theory.