Exemplos de uso de Estimation methods em Inglês e suas traduções para o Português
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The category and the magnitude estimation methods were used.
The estimation methods with lower scores were the equations of Rabito et al.
There is no difference among the estimation methods for predictive purposes.
The model is being revised in line with the latest developments in macroeconomic theory and estimation methods.
Comparison of estimation methods for variance components and genetic parameters considering….
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When it is impossible to measure weight in the elderly, estimation methods can be employed.
To compare and validate weight estimation methods in the elderly living in nursing homes in Natal, Rio Grande do Norte.
For characterization of distributions some mathematical properties and six estimation methods were presented.
Accurate estimates can be obtained using estimation methods that are consistent with the characteristics of the instrument items.
It is necessary to carry out other studies to assess the applicability of the estimation methods in this population.
Target groups may vary slightly owing to different estimation methods and data sources; therefore, comparisons should be made with caution.
The measurement protocol of the anthropometric measurements followed the one proposed by each author for the preparation of the estimation methods.
The high performance of H.264 is the result of prediction and estimation methods for selected frames of the video.
Given the dependability of current estimation methods, dataquality and data availability, it is not always possible tointerpret trends reliably.
Cost Estimation: parametric Cost Estimation using Function Points and SNAP, other Cost Estimation methods.
Historically, different sampling techniques and estimation methods have been applied in order to get more accurate and precise abundance estimates.
Positive and negative external and internal effects of transport("true costs of transport"),definitions, estimation methods, results, internalization strategies close.
Three estimation methods are proposed and analyzed for the new distribution: by moments, by maximum likelihood via em algorithm and by empiri al hara teristi fun tion.
The presence of multicollinearity among variablescan cause the problem of numerical singularity involved in the calculation of inverse matrix, present in the estimation methods.
From some parameters used to evaluate the estimation methods, it was observed that the proposed method shows good results in terms of accuracy and convergence speed.
Repeated measures analyses with spatial power covariance structure and restricted maximum likelihood estimation methods were conducted for continuous variables.
The present work proposes the construction,definition, estimation methods, and diagnostic analysis for the regression models with a multiplicative measurement error in one of the covariates.
Simulation studies, taking into account some situations of practical interest, were conducted in order to evaluate the potential of the triad:modeling, estimation methods and diagnostic tools.
Even though the MH has internally simulated the budget impact from PET at SUS, its estimation methods and likelihood of bearing important methodological biases hinders comparisons with the results from this study.
In study 1, the dimension represented by factor 1 F1- depressive mood or anxiety symptoms concentrated the largest number of items 11 andhigher internal consistency according to both estimation methods 0.79 and 0.90.
Code C: emission data are based on calculations using nationally or Internationally agreed estimation methods and emission factors, which are representative for the industrial sectors.
For this, the Guidance Document addresses details of the EPER Decision on reporting requirements and formats, sector-specific sub-lists of pollutantsfor source categories and reference to emission estimation methods.
Class C: emission data are based on calculations using nationally or internationally accepted estimation methods and emission factors, which are representative for the indus trial sectors.
With this in light,this study compared three estimation methods(traditional; by univariate analysis of portfolio returns; dynamic copulas and static copulas), of two risk measurements: value at risk(var) and expected shortfall es.
It contaminates the image in a way that cannot be simply subtracted from the image,making the edge location estimation methods not effective, confusing noise with different regions edges.