estimation theory

(redirected from Parameter estimation)
Also found in: Acronyms.

estimation theory

[‚es·tə′mā·shən ‚thē·ə·rē]
(statistics)
A branch of probability and statistics concerned with deriving information about properties of random variables, stochastic processes, and systems based on observed samples.
References in periodicals archive ?
Zhu, "Parameter estimation method of incoherently distributed source via sparse representation," Journal of Electronics and Information Technology, vol.
A complementary problem associated to circuit parameter estimation is the adjustment of the I-V characteristic curve as a function of ambient conditions.
The system performance is shown in the process of simulation, including dynamic response, stability and accuracy of parameter estimation. To prove the effectiveness and superiority of the proposed I&I adaptive controller, the traditional backstepping adaptive controller is defined.
The selected models were estimated by using least square method as for step three; parameter estimation.
Remaining parts of this paper are arranged as follows: Section 2, asymmetrical heteroscedastic Leevy process model building; Section 3, analysis of parameter estimation of asymmetrical heteroscedastic Levy process model; Section 4, analysis of price forecast errors of options other than samples and comparison of pricing results of different option pricing models; Section 5, conclusions.
Parameter estimations are computed according to the following relations:
The subspace-based superresolution methods combined with aperture smoothing could be practically extended for space-time parameter estimation, such as the 2D MUSIC method [10].
[10], we give a general parameter estimation of the model in Section 3.
The mechanisms by which improper workplace environments can cause human error in construction can only be identified when the existing variables and their definitions are further modified according to the characteristics of the construction project and when its data are used as the basis for parameter estimation. Although the influence paths for improper workplace environment and human error were identified, the topology of the model requires revisions based on industrial experience to make the model suitable for parameter estimation, and the results need to be mapped and validated with previous studies to corroborate the legitimacy of the results.
Basing DL parameter estimation on offline techniques or preidentified information significantly impacts the accuracy level of the power system studies that depend on these values due to the following:
Woodall and Montgomery [5] recognised the importance of examining the effects of parameter estimation on the performance of a particular control chart.
The researchers have studied the least squares parameter estimation methods to for nonlinear system.