Parameter

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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.
References in periodicals archive ?
In order to efficiently manage data flows, it is necessary to estimate parameters of these flows to allocate appropriate amount of resources.
Every of that maps will contain a significant number of parameters which will get weighted and judged.
The effects of capitalization on chance are directly related to the estimation errors of the parameters included in the statistical model, and depend primarily (though not exclusively) on the available sample size and the estimation method employed (Li & Lissitz, 2004).
In practice it is necessary to identify object parameters changed under the influence of internal or external disurbances.
Neural network models with 10 parameters were trained by data of 14 projects and, were validated with 4 projects for predesign cost estimation of highway projects (Hegazy and Ayed 1998).
After some time of carrying this research problems with parameters did not seem a new type of problems to the pupils.
Some advanced techniques based on wavelet transform and S-transform and some new parameters to determine power swing are described in references [4-8].
Key words: ANOVA, Electric Discharge Machining, Process Parameters, and Response Surface Methodology.
The aim of this study was to estimate growth curve parameters of Thalli sheep using different non-linear models.
In this paper we determine the Weibull parameters (k and c) using four methods.
The main purpose of this paper is to show a data mining-based approach to tackle the problem of tuning the performance of a meta-heuristic search algorithm with respect to its parameters.