# estimation theory

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## 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 ?
By comparing the observed and simulated hydrographs first concluded that much difference between observed and simulated peak discharge, there is the problem of estimating parameters that are in the production of runoff, that in watersheds with the lack of statistical data to estimate these floods are used that the most commonly these simulations show very high levels and cause spending a lot of design, blue, and hydraulic structure.
We employ SMM by matching a set of empirical moments with simulated moments, estimating parameters from two models: 1) the base case model and 2) the payout consistency cost model.
Among the topics are fundamental concepts, estimating parameters, classification, unfolding, constrained fits, how to deal with systematic uncertainties, analysis walk-throughs, and applications in astronomy.
The first section sets out fundamentals such as the relations between the latent variable and its indicators, and estimating parameters and selecting models.
Problems such as existence of unmeasured states, states measured at irregularly sampled times, and different states measured at different points in time are commonly faced by chemical engineers when estimating parameters in nonlinear dynamic processes (Varziri et al.
Estimating parameters of Weibull distribution is achieved by using: the modified moments method, the correlation coefficient method for estimating the location parameters of the Weibull distribution, the least squares method, the maximum likelihood method (MVM) and the moments method.
Estimating parameters in a flexible growth equation, the Richards function.
As long as a correct procedure for estimating parameters from stratified samples is used, the estimates are valid and their standard errors are reduced.
Models with >10 observations per parameter were estimable and ~62% satisfied GOF testing; most "failures" to satisfy GOF were due to the difficulty of estimating parameters during the GOF procedure when using simulations.
When estimating parameters that constitute a discrete probability distribution {[p.
The inter-media transport factor predictor (ITFP) software consists of three main components: (1) a chemical property database (CHEMBASE), which contains environmentally relevant physicochemical properties, compiled and critically evaluated from various literature sources, for selected air toxics; (2) a chemical property predictor (CPP), which contains various methods to estimate a selection of physicochemical parameters for different chemical classes; (3) an inter-media transport parameter predictor (ITPP), which is capable of estimating parameters such as dry deposition velocity, wet scavenging coefficients for chemical in the particle-bound and gaseous forms, chemical water/air mass transfer coefficients, and half-life for chemical volatilization from the soil.
Overall, there were 3 methods of estimating parameters in Eqn 2, and 3 methods of estimating parameters for Eqn 3, providing 9 sets of parameters for SWIM model runs, as identified in Table 1.

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